# 4,520 Remote Artificial Intelligence (AI) Jobs - September 2026

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4,520 Remote Artificial Intelligence (AI) Jobs - September 2026

Remote AI jobs in September 2026 can include work across machine learning, data, engineering, product, research, and operations, with expectations varying by role type and seniority. For remote candidates, the useful signals are clear AI tooling experience, distributed-team communication, and proof of shipped work or measurable project ownership. Create an account to explore the full job feed and auto-apply with LiftmyCV AI Agent.

## Expert

Marina Galkina, Senior HR Manager, Lead Tech Recruiter, and Career Consultant

https://www.linkedin.com/in/marina-galkina-148b93224/

"Remote AI hiring in 2026 tends to split across a few lanes: model and ML engineering, data and evaluation work, AI product roles, and infrastructure that keeps systems reliable. The remote part changes the screen. Employers often look for people who can show clear technical judgment in writing, work across time zones, and explain tradeoffs without constant live meetings. For AI roles, a polished project list helps less than evidence of how you tested, shipped, or improved something real."

Marina's Market Take

Senior HR Leader & Lead Tech Recruiter

### How to Land a Remote AI Job in 2026

Remote AI jobs in 2026 cover several lanes, so your application needs to show where you actually fit. A machine learning engineer should lead with model development, evaluation, deployment, and production ownership. A data scientist should show experimentation, statistical thinking, Python or SQL work, and how analysis shaped product or business decisions. Product, design, operations, research, and support candidates should connect their work to AI features, model behavior, user workflows, quality review, safety processes, or customer implementation.

For remote roles, employers also need proof that you can work without constant hand-holding. Emphasize asynchronous documentation, cross-functional collaboration across time zones, clear handoffs, and examples where you shipped or supported AI-related work with distributed engineering, product, data, or customer teams. If you have worked with tools, models, datasets, prompts, evaluation workflows, APIs, annotation systems, or compliance reviews, name the context clearly and explain your role in the outcome.

- **Pick a lane before applying.** Group remote AI listings into engineering, data, product, research, operations, or customer-facing roles, then position your experience around one primary lane per application.
- **Show applied AI work.** Reference shipped features, model evaluation, automation projects, analytics workflows, prompt testing, safety review, or implementation support when those details match the role.
- **Make remote work concrete.** Mention written specs, ticket ownership, async updates, documentation, remote stakeholder reviews, or collaboration with teams in multiple locations.
- **Prioritize fit over volume.** Focus first on remote AI jobs where your tools, seniority, and function match the posting, especially when the role asks for specific model, data, product, or operations experience.

LiftmyCV helps you find remote AI jobs that match your skills, experience, and preferred work style, then auto-apply to relevant roles faster.

For **remote AI jobs**, keep the resume centered on the type of AI work you can prove: model development, data pipelines, evaluation, prompt systems, AI product delivery, research, MLOps, or customer-facing implementation. Name the tools you have actually used, such as Python, PyTorch, TensorFlow, scikit-learn, SQL, Spark, Airflow, Docker, Kubernetes, MLflow, Weights & Biases, LangChain, LlamaIndex, OpenAI API, Hugging Face, AWS, GCP, or Azure. If you have cloud, data, or security certifications, include them only when they support the posting.

Cut vague claims like “worked on AI solutions” or “used machine learning to improve processes.” Remote AI resumes need evidence that can survive a close read: shipped models, evaluated LLM outputs, reduced latency, improved data quality, supported annotation workflows, launched AI features, or managed experiments across distributed teams. For product, show launches and adoption. For research, show papers, benchmarks, datasets, or reproducible experiments. For MLOps, show deployment, monitoring, rollback, and model governance work.

- **Weak:** “Helped build machine learning models for business teams.”
- **Strong:** “Built a PyTorch classification model, tracked experiments in MLflow, and partnered with a remote data team to improve F1 score from 0.71 to 0.82 before production handoff.”

LiftmyCV helps you create an ATS-friendly remote AI jobs resume tailored to each job, so your skills and experience better match what employers are looking for.

Remote AI jobs in 2026 can involve machine learning engineering, data science, AI product work, research, prompt evaluation, model operations, or customer-facing implementation, so prepare for more than one interview style. For technical AI roles, expect coding screens, model evaluation questions, or system design prompts such as explaining how you would monitor a retrieval-augmented generation workflow for latency, hallucinations, and data quality. Bring examples that show tradeoffs, not just model choices.

For AI product, operations, or implementation roles, build short case stories with metrics: a workflow you automated, an evaluation process you improved, or a launch where you balanced user needs with model limits. Portfolio reviews can matter for applied AI, especially if you can walk through notebooks, demos, dashboards, experiment logs, or before-and-after process changes. Remote interviews may also test written communication, so practice explaining an AI decision, risk, or failure mode clearly without leaning on jargon.

## Remote AI Jobs Salary Data (September 2026)

This section summarizes salary information from 4,520+ active remote AI job postings, including roles across machine learning, data science, AI engineering, research, product, and related technical functions. Use it to compare posted pay ranges for remote opportunities in September 2026.

| Level | P25 | P50 | P75 |
| --- | --- | --- | --- |
| Average | 133026.75 | 175500 | 222747.13 |
| Entry | 37440 | 83200 | 249600 |
| Mid | 130000 | 168000 | 200000 |
| Senior | 165975 | 193500 | 236250 |

Skills: ["machine learning","Python","LLMs","deep learning","NLP","data science","model training","model evaluation","MLOps","prompt engineering","generative AI","data engineering","API integration","cloud platforms","SQL","PyTorch","TensorFlow","computer vision","AI research","model deployment","documentation","remote collaboration"]

## Example jobs

- **AI Prompt Engineer — Noodle — Remote, South Africa**: Noodle is higher education’s leading strategy, services, and technology partner. We develop infrastructure, provide life-changing learning experiences, and grow the awareness of and the enrollment in some of the best academic institutions in the world. Our vision is “to empower universities to change the world.” We achieve this vision by offering our university partners various products and services that help them be more resilient, responsive, efficient, and interconnected.

We’re looking for a Prompt Systems Engineer to sit at the intersection of AI capability and educational effectiveness. You will own the design, testing, and continuous improvement of the prompts and system instructions that power Noodle’s AI agents across enrollment, learning, and student support use cases.

This is a hands-on, high-impact role. You’ll work directly with product managers, learning designers, university stakeholders, and engineers to translate operational and pedagogical goals and business requirements into agent behavior — and you’ll build the evaluation frameworks to prove that behavior is working.

**As a Prompt Systems Engineer, you will: **

Prompt Design & Engineering

- Write, iterate, and maintain system prompts and instruction sets for Noodle’s AI agents focused on students enrollment, learning, and retention
- Translate complex educational and operational requirements into clear, reliable agent behavior — including persona definition, tone, scope constraints, fallback handling, and multi-turn conversation logic
- Design prompt architectures for multi-step and chained agent workflows, including RAG-augmented agents that draw from program-specific knowledge bases
- Collaborate with the engineering team to configure and deploy agents through Noodle’s AI orchestration platform, including primary prompts, secondary context, knowledge base attachments, and embed definitions
- Create the learner experiences defined by “three-way” chat between the learner, a campus or Noodle support staff member, and that staff member’s AI assistant

Evaluation & Quality

- Build and maintain evaluation frameworks to measure agent accuracy, tone, hallucination rate, task completion, and alignment with rubric-based learning objectives
- Use Langfuse (Noodle’s LLM observability platform) to monitor prompt performance in production, identify regressions, and prioritize prompt improvements
- Design red-teaming and adversarial testing protocols to surface edge cases and failure modes before agents reach students
- Establish prompt versioning practices and maintain a library of tested, reusable prompt components

Collaboration & Enablement

- Partner with Noodle teammates and university stakeholders to design, build, and test agents — translating learning objectives, operational flows, rubric assessments, and more into prompt-level agent instructions
- Work with enrollment and student success teams to tune companion agents for specific programs and university partner contexts
- Contribute prompt engineering guidelines and best practices documentation for internal teams who configure their own agents on Noodle’s AI orchestration platform
- Stay current with model capability changes across OpenAI, Anthropic, and other providers integrated into Noodle’s stack, and proactively surface opportunities or risks
- Perform other duties as assigned

**You have:**

- 2+ years of experience designing and iterating on prompts for LLM-powered applications in a production environment
- Deep familiarity with prompt patterns: few-shot examples, chain-of-thought, system vs. user roles, output formatting constraints, tool-use prompting, and RAG integration
- Strong written communication — you can write clearly, precisely, and persuasively, because that’s the core of the job
- Experience building and running prompt evaluations: defining metrics, writing test cases, and interpreting results to make improvement decisions
- Comfort working across disciplines — you can hold a conversation with an engineer about context windows and with a faculty member about Bloom’s Taxonomy
- Experience with LLM observability tools (Langfuse, Weights & Biases, or similar)
- Familiarity with LTI (Learning Tools Interoperability) and how AI tools plug into LMS platforms like Moodle, Canvas, or Instructure
- Experience with voice agents or multimodal prompting
- Comfort reading and writing basic code (JavaScript, Python) to support prompt automation and testing pipelines
- Knowledge of OpenAI, Anthropic, or other model provider APIs
- Ability to thrive in ambiguity and iterate quickly based on user feedback
- Ability to work effectively in dynamic, rapidly changing, team-based environment

At Noodle, we hire people who will help us change the future of education. Even if you don't think you check off every bullet point on this list, we still encourage you to apply! We value both current experience and future potential.

[**Meet the team!**](https://partners.noodle.com/about-us)

We’re looking for a Prompt Systems Engineer to sit at the intersection of AI capability and educational effectiveness. You will own the design, testing, and continuous improvement of the prompts and system instructions that power Noodle’s AI agents across enrollment, learning, and student support use cases.

This is a hands-on, high-impact role. You’ll work directly with product managers, learning designers, university stakeholders, and engineers to translate operational and pedagogical goals and business requirements into agent behavior — and you’ll build the evaluation frameworks to prove that behavior is working.

**As a Prompt Systems Engineer, you will: **

Prompt Design & Engineering

- Write, iterate, and maintain system prompts and instruction sets for Noodle’s AI agents focused on students enrollment, learning, and retention
- Translate complex educational and operational requirements into clear, reliable agent behavior — including persona definition, tone, scope constraints, fallback handling, and multi-turn conversation logic
- Design prompt architectures for multi-step and chained agent workflows, including RAG-augmented agents that draw from program-specific knowledge bases
- Collaborate with the engineering team to configure and deploy agents through Noodle’s AI orchestration platform, including primary prompts, secondary context, knowledge base attachments, and embed definitions
- Create the learner experiences defined by “three-way” chat between the learner, a campus or Noodle support staff member, and that staff member’s AI assistant

Evaluation & Quality

- Build and maintain evaluation frameworks to measure agent accuracy, tone, hallucination rate, task completion, and alignment with rubric-based learning objectives
- Use Langfuse (Noodle’s LLM observability platform) to monitor prompt performance in production, identify regressions, and prioritize prompt improvements
- Design red-teaming and adversarial testing protocols to surface edge cases and failure modes before agents reach students
- Establish prompt versioning practices and maintain a library of tested, reusable prompt components

Collaboration & Enablement

- Partner with Noodle teammates and university stakeholders to design, build, and test agents — translating learning objectives, operational flows, rubric assessments, and more into prompt-level agent instructions
- Work with enrollment and student success teams to tune companion agents for specific programs and university partner contexts
- Contribute prompt engineering guidelines and best practices documentation for internal teams who configure their own agents on Noodle’s AI orchestration platform
- Stay current with model capability changes across OpenAI, Anthropic, and other providers integrated into Noodle’s stack, and proactively surface opportunities or risks
- Perform other duties as assigned

**You have:**

- 2+ years of experience designing and iterating on prompts for LLM-powered applications in a production environment
- Deep familiarity with prompt patterns: few-shot examples, chain-of-thought, system vs. user roles, output formatting constraints, tool-use prompting, and RAG integration
- Strong written communication — you can write clearly, precisely, and persuasively, because that’s the core of the job
- Experience building and running prompt evaluations: defining metrics, writing test cases, and interpreting results to make improvement decisions
- Comfort working across disciplines — you can hold a conversation with an engineer about context windows and with a faculty member about Bloom’s Taxonomy
- Experience with LLM observability tools (Langfuse, Weights & Biases, or similar)
- Familiarity with LTI (Learning Tools Interoperability) and how AI tools plug into LMS platforms like Moodle, Canvas, or Instructure
- Experience with voice agents or multimodal prompting
- Comfort reading and writing basic code (JavaScript, Python) to support prompt automation and testing pipelines
- Knowledge of OpenAI, Anthropic, or other model provider APIs
- Ability to thrive in ambiguity and iterate quickly based on user feedback
- Ability to work effectively in dynamic, rapidly changing, team-based environment

At Noodle, we hire people who will help us change the future of education. Even if you don't think you check off every bullet point on this list, we still encourage you to apply! We value both current experience and future potential.

[**Meet the team!**](https://partners.noodle.com/about-us)

### Noodle Africa Benefits:

 Work from the comfort of your home office! Great compensation package Tools you need on us! Laptop (Mac is our computer of choice) and EcoFlow inverter 12 weeks paid Parental Leave benefits 20 working days annual leave + 10 paid national holidays Medical/RA benefit Internet benefits Full access to our employee assistance program (EAP) through Company Wellness Annual education stipend for lifelong learning

**Eligibility Requirements:**

This position is based in South Africa. Applicants must be legally authorized to live and work in South Africa and must maintain residency within South Africa throughout their employment. Proof of eligibility and residency will be required upon hiring.

At Noodle, we hire people who will help us change the future of online education. Even if you don't think you check off every bullet point on this list, we still encourage you to apply! We value both current experience and future potential.

Noodle is committed to creating a welcoming and inclusive workplace for everyone. We value and celebrate our differences because those differences are what make our team shine. We hire great people from different backgrounds, not just because it's the right thing to do, but because it makes us stronger as a whole. Women, people of color, LGBTQIA2S+ individuals, and members of other underrepresented groups are strongly encouraged to apply. Noodle is an equal opportunity employer and does not discriminate against candidates on the basis of race, ethnicity, religion, sex, gender, sexual orientation, gender identity, disability status, or veteran status.
- **AI Prompt Engineer — BPM LLP — Bengaluru**: Caravel BPM Technology Solutions – where caring and community is in our company DNA, we are always striving to be our best selves and we’re compelled to ask the questions that lead to innovation. As a Managed Services NetSuite Consultant, you will lead and understand a client’s subscription terminology, gather requirements, configure, test, and walk the client through end-to-end processes and train end users. Industry experience in the software and services verticals are preferred. Our team of consultants is a smart and friendly team who enjoy working together in a collaborative and supportive work environment.

Working with Caravel BPM means using your experiences, broadening your skills, and reaching your full potential in work and life—while also making a positive difference for your clients, colleagues, and communities. Our shared entrepreneurial spirit drives us to see and do things differently. Our passion for people makes BPM a place where everyone feels welcome, valued, and part of something bigger. Because People Matter.

**BPM India Advisory Service Private Limited** - Formerly known as “Burr Pilger Mayer India Private Limited”. (BPM India) is a subsidiary of BPM LLP. Founded in 1986, BPM is one of the largest California-based accounting and consulting firms, ranking in the top 50 in the country. With 17 different office locations, BPM serves emerging and mid-cap businesses as well as high-net-worth individuals in a broad range of industries, including financial services, technology, life science, manufacturing, food, wine and craft brewing, automotive, nonprofits, real estate and construction. The Firm’s International Tax Practice is one of the largest on the West Coast and its well-recognized SEC practice serves approximately 35 public reporting companies, mostly in the technology industry.

Caravel BPM Technology Solutions – where caring and community is in our company DNA, we are always striving to be our best selves and we’re compelled to ask the questions that lead to innovation. As a Managed Services NetSuite Consultant, you will lead and understand a client’s subscription terminology, gather requirements, configure, test, and walk the client through end-to-end processes and train end users. Industry experience in the software and services verticals are preferred. Our team of consultants is a smart and friendly team who enjoy working together in a collaborative and supportive work environment.

Working with Caravel BPM means using your experiences, broadening your skills, and reaching your full potential in work and life—while also making a positive difference for your clients, colleagues, and communities. Our shared entrepreneurial spirit drives us to see and do things differently. Our passion for people makes BPM a place where everyone feels welcome, valued, and part of something bigger. Because People Matter.

**BPM India Advisory Service Private Limited** - Formerly known as “Burr Pilger Mayer India Private Limited”. (BPM India) is a subsidiary of BPM LLP. Founded in 1986, BPM is one of the largest California-based accounting and consulting firms, ranking in the top 50 in the country. With 17 different office locations, BPM serves emerging and mid-cap businesses as well as high-net-worth individuals in a broad range of industries, including financial services, technology, life science, manufacturing, food, wine and craft brewing, automotive, nonprofits, real estate and construction. The Firm’s International Tax Practice is one of the largest on the West Coast and its well-recognized SEC practice serves approximately 35 public reporting companies, mostly in the technology industry.

### Job Summary:

As an AI Prompt Engineer at Caravel, you'll build the production layer of our AI practice — the prompts, prompt chains, and LLM-driven components that power client solutions and the internal accelerators our consultants rely on. You'll partner with our AI Specialists to turn solution designs into reliable, evaluated, production-ready builds. This is a hands-on build role for someone who cares about getting model behavior right, not just getting it to run.

### Key Responsibilities:

 Design, build, test, and iterate on prompts and prompt chains for production LLM workflows across client delivery and internal automation. Implement evaluation harnesses, guardrails, and regression tests so output quality is measurable and stays stable over time. Integrate LLM components with business systems and data — APIs, retrieval/RAG pipelines, and structured outputs. Partner with AI Specialists to convert solution designs into production builds, and document patterns for reuse. Tune for accuracy, cost, latency, and safety against real evaluation data — not vibes. Grow Caravel's library of reusable AI accelerators.

### Preferred Qualifications

 2+ years building software or AI/LLM components, including hands-on experience crafting and iterating prompts for real applications. Working knowledge of LLM fundamentals: context windows, few-shot prompting, function/tool calling, structured outputs, and RAG basics. Proficiency in Python (or similar) and comfort with APIs, JSON, and version control (Git). A test-and-measure mindset — you evaluate output quality, you don't eyeball it. Clear written English and strong documentation habits. Ability to collaborate across time zones with an onshore/nearshore team.

**Preferred Skills:**

 Experience with evaluation frameworks (e.g., promptfoo, Ragas, or custom eval harnesses). Familiarity with embeddings, vector databases, and retrieval pipelines. Exposure to ERP/CRM ecosystems (NetSuite, Salesforce) or business-process automation. Experience with agentic frameworks and orchestration.
- **Applied AI/ML Engineer — Intangible — Remote**: Intangible.ai, a spatial intelligence company, focuses on advancing 3D generative AI for various industries. The company seeks a creative Applied AI/Machine Learning Engineer to design AI assistants that enhance interactive 3D workflows. Ideal candidates will have software development expertise and experience with NLP and ML frameworks. Intangible fosters an interdisciplinary environment with opportunities for significant contributions to unique products.
- **AI/ML Engineer — Fieldwire — San Francisco, CA (Hybrid) or United States (Remote)**: Fieldwire is seeking an AI/ML Engineer to enhance construction site documentation through 360° video capture and AI-driven insights. The ideal candidate will leverage machine learning models to turn data into actionable intelligence, enabling better job site understanding and collaboration. Responsibilities include developing AI solutions, maintaining data quality, and deploying models in a cloud environment. A strong background in machine learning, computer vision, and deep learning frameworks is essential. The estimated salary for this role is between $152,000 and $220,000, reflecting various factors like location and experience.
- **AI/ML Engineer — Air Apps — Amsterdam, San Francisco, Helsinki**: # **About Air Apps**

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.

Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.

Join us on this journey to redefine resource management—and change lives along the way.

# **The Role**

As an **AI/ML Engineer**, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry.

- This is a **fully onsite position**, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. **We are open to support with relocation efforts.**

# **Responsibilities**

- Develop, train, and optimize machine learning models for various mobile app features.
- Research and implement state-of-the-art AI techniques to improve user engagement and app performance.
- Collaborate with cross-functional teams to integrate AI-driven solutions into our applications.
- Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.
- Analyze large datasets to derive insights and drive data-driven decision-making.
- Stay updated with the latest AI trends and best practices, incorporating them into our development processes.
- Optimize AI models for mobile environments to ensure high performance and low latency.

# **Requirements**

- Around **4+ years of experience** in AI/ML development, preferably in mobile applications.
- Proficiency in **Python**, **TensorFlow**, **PyTorch**, or other ML frameworks.
- Experience with **deep learning, NLP, computer vision**, and statistical modeling.
- Familiarity with **cloud-based ML services** (AWS, Google Cloud, or Azure).
- Strong understanding of **data structures, algorithms, and software engineering best practices**.
- Experience in deploying and maintaining **ML models in production**.
- Ability to work collaboratively in a remote team environment.
- Strong problem-solving skills and a passion for innovation.

# **What benefits do we offer?**

- **Apple hardware** ecosystem for work.
- **Annual Bonus**
- **Top-tier Health and Life Insurance** for peace of mind.
- **Transportation Budget** to support your commute needs.
- **Coverflex** benefits package for meal allowances, well-being, and more.
- **Childcare** support.
- **Air Conference** - an opportunity to meet the team, collaborate, and grow together.
- **Pension Fund** to support your long-term financial planning.
- **Urban Sports Club** membership to keep you active.
- **Meals 100% free** at the hub.

# **Diversity & Inclusion**

At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.

# **Application Disclaimer**

At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.
- **AI/ML Engineer — ISHIR — India**: ### **Job Title:****AI/ML Engineer**

**Location:** India (Offshore)
**Experience:** 3–6 Years
**Role Type:** Remote / Offshore

### **About the Role**

We are looking for a hands-on **AI/ML Engineer** to design, develop, and productionize machine learning and Generative AI solutions for real-world business use cases.

The ideal candidate should have strong experience in **Python, machine learning, deep learning, LLMs, RAG, and MLOps**, along with recent hands-on experience delivering Generative AI solutions in production environments.

### Key Responsibilities

- Design, develop, train, fine-tune, and evaluate **machine learning and LLM-based solutions**.
- Build and maintain end-to-end ML/AI pipelines, covering **data ingestion, processing, model development, inference, deployment, and monitoring**.
- Develop and implement **Generative AI applications**, including LLM-powered solutions and RAG-based systems.
- Apply **prompt engineering, context engineering, and LLM fine-tuning** techniques to improve model performance and reliability.
- Design and implement solutions using **vector databases, embeddings, and retrieval-augmented generation (RAG)** architectures.
- Collaborate with Solution Architects, Data Scientists, and engineering teams to translate business requirements into scalable AI/ML solutions.
- Optimize models and AI applications for **accuracy, latency, scalability, and cost efficiency**.
- Implement **model evaluation, guardrails, observability, and monitoring** for production AI/ML systems.
- Follow MLOps best practices, including **model versioning, CI/CD, deployment automation, and model lifecycle management**.
- Stay current with emerging developments in **Generative AI, LLMs, AI engineering, and machine learning technologies**.

### Required Skills & Experience

- **3–6 years of hands-on experience** in Machine Learning Engineering or a closely related role.
- Strong proficiency in **Python**.
- Experience with machine learning and deep learning frameworks such as **PyTorch, TensorFlow, and scikit-learn**.
- Hands-on experience with **Generative AI and LLM-based applications**.
- Experience with **LLM fine-tuning, prompt engineering, and context engineering**.
- Strong understanding of **RAG architectures, embeddings, vector databases, and semantic search**.
- Experience building and deploying **production-grade ML/AI pipelines**.
- Working knowledge of **MLOps practices**, including model versioning and CI/CD for machine learning workloads.
- Experience with at least one major cloud-based ML platform: AWS SageMaker
- Azure Machine Learning
- Google Cloud Vertex AI

 Strong understanding of model evaluation, performance optimization, and production monitoring. Ability to work collaboratively with cross-functional technical teams and translate business requirements into practical AI/ML solutions.

### Nice to Have

- Experience working on AI/ML solutions in **regulated or highly sensitive domains**, such as healthcare or government technology.
- Experience with **multi-agent AI systems and orchestration frameworks**.
- Experience with LLM evaluation frameworks and AI observability tools.
- Familiarity with containerization and cloud-native technologies such as **Docker and Kubernetes**.
- Experience working with APIs, microservices, and scalable AI application architectures.

### What We’re Looking For

- Strong hands-on engineering mindset with the ability to take AI/ML solutions from **prototype to production**.
- Practical experience solving real-world problems using **Machine Learning and Generative AI**.
- Ability to evaluate different models and approaches based on **accuracy, performance, scalability, and cost**.
- Strong problem-solving and communication skills.
- Ability to work effectively in a fast-paced, collaborative environment.

**About ISHIR**

ISHIR is a digital innovation and enterprise AI services provider. We work with startups and enterprises to shape the future through accelerated innovation, deep technical expertise, access to global digital talent and a passion for complex problem-solving. With our help, our clients overcome their most difficult digital challenges leveraging AI.

We are not just consultants, we are partners in our clients’ success, assisting them with re(gaining) competitive edge by identifying opportunities for differentiation, industry disruption, scalable innovation, and go-to-market strategies that deliver successful outcomes.

At ISHIR, we help bold businesses accelerate innovation through Talent, Speed-to-Market, and AI. We help make an impact by solving real problems using innovation, improved customer experiences and the right technologies.

As an ISHIR employee, you will get the advanced training you need to be successful, and the opportunity to apply it. You must be passionate about technology, crave responsibility, and be eager to apply your knowledge to real business solutions for our startup and enterprise customers. These are the qualities of a person destined for success at ISHIR.

ISHIR attracts a special type of individual—someone who is proactive, thrives on challenges, feeds off success, and looks at moving targets not as obstacles but as opportunities. ISHIR is an exciting place to work. It is imbued with an entrepreneurial spirit and promotes self-reliance, open communication, and collaboration.
- **AI/ML Engineer — Uvation — India, Romania, Serbia**: **Job Title:** AI/ML Engineer
**Department:** IT Services
**Reports To:** IT Project Manager

**Job Overview:**

The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities.

The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential.

**Responsibilities:**

**1. Model Development and Optimization**

- Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting.
- Select appropriate algorithms and techniques based on business needs and data characteristics.
- Continuously monitor and improve model performance using metrics and feedback loops.

**2. Data Preparation and Feature Engineering**

- Clean, preprocess, and transform structured and unstructured datasets for training and inference.
- Engineer and select relevant features to improve model accuracy and generalizability.
- Collaborate with data engineers to ensure data quality and accessibility.

**3. Model Deployment and MLOps**

- Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes.
- Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow.
- Monitor deployed models for drift, latency, and performance in production environments.

**4. AI Solutions and Use Case Implementation**

- Work with business stakeholders to translate real-world problems into AI/ML use cases.
- Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection).
- Contribute to proof-of-concept projects and assist in scaling successful models to production.

**5. Research and Innovation**

- Stay updated with the latest research, frameworks, and tools in machine learning and AI.
- Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability.
- Promote innovation by recommending and implementing modern AI strategies.

**6. Cross-functional Collaboration**

- Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery.
- Translate technical insights into business value through clear documentation and presentations.

**7. Documentation and Best Practices**

- Maintain comprehensive documentation for models, experiments, and pipelines.
- Ensure reproducibility, scalability, and compliance with data governance policies.

**Requirements:**

**Experience:**

- 3–5 years of hands-on experience in machine learning model development and deployment.
- Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods.

**Technical Skills:**

**Strong knowledge of:**

- Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch)
- Model evaluation, hyperparameter tuning, and pipeline automation
- REST APIs for model serving and integration

**Familiarity with:**

- MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes)
- Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform)
- NLP or computer vision frameworks (e.g., Hugging Face, OpenCV)

**Soft Skills:**

- Strong analytical and problem-solving abilities.
- Excellent communication skills, both verbal and written.
- Ability to work independently and within cross-functional teams.
- Curiosity, adaptability, and willingness to learn continuously.
- **Applied AI Scientist — Vantor Inc. — Remote (United States)**: Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next.  Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

*Export Control/ITAR:* Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

**Please review the job details below.**

**Responsibilities**

- Design, develop, and deploy **AI-driven applications** that transform large-scale geospatial data into actionable insights and predictive intelligence.

- Build and operate **end-to-end AI/ML pipelines** including data ingestion, preprocessing, feature engineering, training, evaluation, and production inference.

- Productionize **reasoning models, vision-language models (VLMs), and multimodal AI systems** that combine imagery, geospatial signals, and structured data.

- Architect **enterprise-grade training and experimentation frameworks**, including automated pipelines, experiment tracking, benchmarking, and reproducible evaluation.

- Create **synthetic datasets and test harnesses** to validate model performance, robustness, and edge-case behavior in real-world operational environments.

- Work closely with **domain experts, software engineers, product managers, and research partners** to translate complex Earth intelligence challenges into deployable AI solutions.

- Optimize models and inference systems for **scalability, latency, cost efficiency, and reliability** on modern cloud infrastructure.

- Implement and maintain **production inference systems**, including monitoring, model versioning, retraining workflows, and performance tracking.

- Stay current with the latest advances in **foundation models, generative AI, multimodal learning, and reasoning systems**, and translate research breakthroughs into practical systems.

- Maintain high engineering standards through **code reviews, documentation, experimentation discipline, and collaborative problem solving**.

- Help shape the next generation of **Earth AI capabilities** through collaboration with leading research organizations and technology partners.

**Minimum Qualifications**

- MS or PhD in **Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or a related technical field**, or equivalent practical experience.

- **5+ years of experience building and deploying machine learning systems** in production environments.

- Demonstrated experience designing and delivering **end-to-end ML pipelines**, including data processing, training automation, evaluation frameworks, and scalable inference.

- Hands-on experience developing and deploying **deep learning models**, particularly in one or more of the following areas:

- **Vision-language models (VLMs)**

- **Multimodal learning**

- **Reasoning models**

- **Large language models (LLMs)**

- **Computer vision or geospatial AI**

- Strong programming skills in **Python**, with experience using modern ML frameworks such as **PyTorch, TensorFlow, or JAX**.

- Experience building **reproducible experimentation pipelines**, including model evaluation, dataset versioning, and experiment tracking.

- Experience deploying models into **production environments** using modern cloud infrastructure and containerized systems.

- Familiarity with **distributed training, large-scale data processing, and model optimization techniques**.

- Ability to collaborate across **research, engineering, and product teams** to bring advanced AI capabilities into real-world applications.

**Preferred Qualifications**

- Experience working with **geospatial data, remote sensing, satellite imagery, or Earth observation systems**.

- Experience building or fine-tuning **foundation models, multimodal models, or agentic AI systems**.

- Familiarity with **Google Cloud Platform (GCP)**, including large-scale AI/ML infrastructure.

- Experience implementing **model monitoring, evaluation pipelines, and automated retraining systems**.

- Contributions to **open-source AI projects, research publications, or patents**.

**Pay Transparency:**To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.

● The base pay for this position within Colorado is: $128,000.00 - $170,000.00 - $187,000.00 annually.

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● The base pay for this position within New Jersey is: $128,000.00 - $170,000.00 - $187,000.00 annually.

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● The base pay for this position within Delaware is: $128,000.00 - $170,000.00 - $187,000.00 annually.

#

● The base pay for this position within the Washington, DC metropolitan area is: $140,000.00 - $187,000.00 - $205,700.00 annually.

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● The base pay for this position within California is: $147,000.00 - $196,000.00 - $215,600.00 annually.

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For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

**Benefits:**Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: [https://www.Vantor.com/careers](https://www.Vantor.com/careers)

Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire.  If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

**EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.**
- **Senior AI / ML Engineer (LLMs) — EvolutionIQ — New York, NY or Remote**: **About Us:**EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of[Inc.’s Best Workplaces](https://www.evolutioniq.com/resources/evolutioniqs-award-winning-culture-three-years-running-as-an-inc-best-workplace) 3 years in a row and Built In’s Best Places to work in 2025 and 2026!

**About You:** As an ambitious AI / ML Engineer, you will play a key role in advancing our industry-leading medical synthesis product. You take strong ownership of your work and have a proven track record of leading projects end-to-end, from ideation and requirements gathering through architecture, implementation, deployment, and iteration. You are comfortable operating with a high degree of autonomy, making thoughtful architectural and technical decisions, and helping guide the direction of AI/ML solutions across the product. Thriving in a fast-paced startup environment, you stay current with the latest AI and machine learning research. You’re passionate about applying hybrid approaches that combine large language models (LLMs), statistical machine learning techniques, and retrieval-augmented generation (RAG) with embeddings-based models to deliver better, more reliable outcomes for our users.

**In this Role You Will:**

- Lead AI/ML projects end-to-end, taking ownership from initial ideation and requirements gathering through architecture, development, deployment, and ongoing optimization
- Make high-level architectural and technical decisions for AI/ML systems, balancing scalability, performance, reliability, maintainability, and business impact
- Design, build, and deploy AI-powered and LLM-driven features for our claim synthesis product, including robust extraction of key information from complex medical documents and human-in-the-loop summarization workflows
- Develop and implement hybrid machine learning solutions that leverage statistical models, LLMs, and embeddings-based retrieval techniques such as RAG to improve system accuracy, scalability, and robustness
- Write clean, scalable, and efficient code while optimizing the performance of existing AI/ML systems in production
- Collaborate closely with data labelers and subject matter experts (SMEs) to rigorously evaluate AI system outputs and continuously improve model performance
- Partner closely with Product, Engineering, and other cross-functional teams to gather requirements, define technical approaches, prioritize work, and rapidly iterate on feedback
- Provide technical leadership and guidance to other engineers, helping establish best practices and driving consistency across AI/ML solutions
- Break down complex, ambiguous problems into well-defined technical solutions and drive projects forward while balancing short-term delivery with long-term architectural considerations
- Translate cutting-edge AI/ML research and novel techniques into production-grade, reliable, and maintainable solutions that operate seamlessly in live customer environments

**Skills Requirements:**

- 5-8+ years of experience writing performant Python code following modern best practices
- Minimum 1 year of experience building and deploying products powered by large language models (LLMs) in fast-paced, professional environments
- Proven experience leading technical projects and driving them from concept through production deployment
- Experience making architectural decisions for AI/ML systems and evaluating technical tradeoffs across scalability, reliability, performance, and maintainability
- Hands-on experience with statistical machine learning techniques as well as hybrid approaches combining LLMs, retrieval-augmented generation (RAG), and embeddings-based models, including vector search and similarity measures
- Proven ability to build and integrate API services within service-oriented or microservice architectures
- Strong skills in evaluating and interpreting LLM outputs and AI model predictions, with a focus on aligning model behavior with real-world business and user outcomes
- Expertise in prompt engineering and fine-tuning of large language models for domain-specific applications
- Strong communication and collaboration skills, with the ability to influence technical direction and work effectively with Product, Engineering, SMEs, and other stakeholders

**Bonus Points:**

- Experience translating state-of-the-art AI/ML research into production code
- Comfortable collaborating with data labelers and subject matter experts to improve training data and evaluation processes
- Experience building agentic or autonomous AI systems in production
- Background working with multimodal data (e.g., images, audio)
- Experience mentoring engineers or providing technical leadership across projects or teams

**Work-life, Culture & Perks: **

- **Compensation:**The base salary range is **$200-235K,** with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
- **Well-Being:**Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
- **Home & Family:** Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
- **Office Life:**Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
- **Growth & Training:**$1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
- **Sponsorship:**We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.

*EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.*
- **AI/ML Engineer, Rome — Air Apps — Rome Metropolitain Area**: # **About Air Apps**

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.

Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.

Join us on this journey to redefine resource management—and change lives along the way.

# **The Role**

As an **AI/ML Engineer**, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry.

- This is a **fully onsite position**, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. **We are open to support with relocation efforts.**

# **Responsibilities**

- Develop, train, and optimize machine learning models for various mobile app features.
- Research and implement state-of-the-art AI techniques to improve user engagement and app performance.
- Collaborate with cross-functional teams to integrate AI-driven solutions into our applications.
- Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.
- Analyze large datasets to derive insights and drive data-driven decision-making.
- Stay updated with the latest AI trends and best practices, incorporating them into our development processes.
- Optimize AI models for mobile environments to ensure high performance and low latency.

# **Requirements**

- Around **4+ years of experience** in AI/ML development, preferably in mobile applications.
- Proficiency in **Python**, **TensorFlow**, **PyTorch**, or other ML frameworks.
- Experience with **deep learning, NLP, computer vision**, and statistical modeling.
- Familiarity with **cloud-based ML services** (AWS, Google Cloud, or Azure).
- Strong understanding of **data structures, algorithms, and software engineering best practices**.
- Experience in deploying and maintaining **ML models in production**.
- Ability to work collaboratively in a remote team environment.
- Strong problem-solving skills and a passion for innovation.

# **What benefits do we offer?**

- **Apple hardware** ecosystem for work.
- **Annual Bonus**
- **Top-tier Health and Life Insurance** for peace of mind.
- **Transportation Budget** to support your commute needs.
- **Coverflex** benefits package for meal allowances, well-being, and more.
- **Childcare** support.
- **Air Conference** - an opportunity to meet the team, collaborate, and grow together.
- **Pension Fund** to support your long-term financial planning.
- **Urban Sports Club** membership to keep you active.
- **Meals 100% free** at the hub.

# **Diversity & Inclusion**

At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.

# **Application Disclaimer**

At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.
- **Senior AI/ML Engineer — Cable One, Inc. — Remote United States**: Join Cable One as a Senior AI/ML Engineer, where you'll be the technical authority for AI/ML platforms and agent architecture. In this role, you'll design reusable architectural patterns and provide technical mentorship within Network Intelligence. You'll partner with other engineers, review complex designs, and establish standards for context engineering and human-in-the-loop approval processes. Candidates should have a strong background in AI/ML, Python, and relevant experience in software and platform engineering. This remote position offers a collaborative work environment and an excellent benefits package.
- **AI/ML Engineer II — Astreya Consultancy India Private Ltd — Remote, India**: **What You'll Do**

- Embed with customers (onsite or remote) to deeply understand their technical stack, data structures, and business workflows
- Design, build, and deploy custom solutions, integrations, and workflows on top of our platform to solve high-value customer problems
- Write production-quality code - APIs, data pipelines, scripts, internal tools - tailored to each customer's environment
- Act as the technical bridge between customers and the core product/engineering team, translating field learnings into product requirements and roadmap input
- Rapidly prototype solutions during discovery, then harden them into scalable, maintainable systems
- Debug and resolve complex technical issues across the customer's infrastructure and our own platform
- Partner with sales and customer success teams during pre-sales technical evaluations, POCs, and pilots
- Identify patterns across customer engagements that reveal opportunities for new product features or platform capabilities
- Travel to customer sites as needed (varies by role/region)

**What We're Looking For**

- 4+ years of experience as a software engineer, solutions engineer, or similar hands-on technical role
- Strong coding ability in at least one modern language (Python, TypeScript/JavaScript, Go, Java, etc.) and comfort working across the stack
- Experience with databases, APIs, and data integration/ETL patterns
- Demonstrated ability to work independently in ambiguous, fast-changing environments with limited specs
- Strong communication skills - able to explain technical tradeoffs to both engineers and business stakeholders
- Customer-facing experience or a strong desire to work directly with customers, not just behind a ticket queue
- A builder's mindset: comfortable going from whiteboard to working prototype to production system
- Willingness to travel (typically 20–50%, depending on team and customer base)

**Nice to Have**

- Experience with cloud infrastructure (AWS/GCP/Azure) and containerization (Docker/Kubernetes)
- Background in a regulated or complex enterprise environment (finance, healthcare, government, logistics)
- Prior experience at a startup in a customer-facing technical role
- Familiarity with our specific domain (e.g., data infra, AI/ML, security)

**Why This Role Is Different**

- FDEs get unusually direct exposure to real customer problems and unusually direct influence on product direction. If you like the idea of shipping code that a customer uses within days - not quarters - and want your engineering work to be tightly coupled to business impact, this role is built for that.

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## FAQ

### Are Remote AI Jobs fully remote or can they include hybrid work?

This page is focused on Remote AI Jobs, so the listings are centered on remote work rather than a single office location. Some employers may still describe collaboration hours, regional eligibility, or occasional meetings in the job post. Before applying in September 2026, check whether the AI role is remote-first, remote within certain countries, or tied to a specific time zone.

### Can I apply for Remote AI Jobs from anywhere?

Remote AI Jobs can still have location limits even when the work is done online. Employers may restrict applicants by country, time zone, payroll setup, or team coverage needs. Review each remote AI listing for phrases about eligible locations, working hours, and travel expectations before assuming the role is open worldwide.

### What should my resume emphasize for Remote AI Jobs?

For Remote AI Jobs, your resume should connect AI work to outcomes, systems, products, research, data, or automation rather than listing broad interests. Remote roles also benefit from clear evidence of written communication, async collaboration, and ownership without close supervision. Use the job description’s own language when describing AI projects, model-related work, or product-facing contributions.

### Are Remote AI Jobs only for engineers?

Remote AI Jobs are often associated with technical work, but the category can also include roles around AI products, data workflows, research support, operations, quality review, and customer-facing implementation. The exact mix depends on the listings currently available. Read the responsibilities carefully, because some remote AI roles require coding while others focus more on analysis, process, or applied use cases.

### Do Remote AI Jobs require previous AI experience?

Some Remote AI Jobs may ask for direct AI experience, while others may be open to candidates who have worked with data, software, automation, research, or product workflows. If you’re applying in 2026, avoid presenting AI interest as experience. Instead, show concrete projects, coursework, shipped features, experiments, evaluations, or business problems where AI-related work was part of the process.

### How can I tell if a Remote AI Job is a good fit before applying?

Look for alignment between the remote AI job’s responsibilities and your actual work history. A good fit usually has clear overlap with the posting’s domain, such as AI product work, model evaluation, data-heavy tasks, or automation projects. Also check the remote setup, meeting expectations, and seniority language so you’re not applying to roles that require a very different level of ownership.

### Apply to Remote AI Jobs with Less Manual Work

Use LiftmyCV to match with remote AI roles, tailor your resume for each opening, and auto-apply to jobs that fit your background.