11,572 Remote Artificial Intelligence (AI) Jobs - July 2026
Remote AI jobs in July 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.
AI Architect (Applied AI Engineer)
RemoteMisfits & Machines is seeking an AI Architect to design and build AI systems for their generative video platform. The ideal candidate will work closely with creative and product teams to translate ideas into working systems. Responsibilities include creating AI agent workflows, crafting intelligence, managing observability, and making architectural decisions. Candidates should have over five years of software engineering experience, particularly in LLM systems, and proficiency in TypeScript/JavaScript. The role focuses on practical implementation rather than management or pure research.
Posted 1 week ago
AI Machine Learning Engineer
RemoteBenzinga is seeking an AI/Machine Learning Engineer to enhance financial data access through AI and machine learning. This role involves developing and deploying machine learning models, building APIs, and optimizing infrastructure. The ideal candidate should have extensive experience in AI/ML, strong programming skills, and the ability to work independently. Join Benzinga to shape the future of financial insights and operate in a high-trust, fully remote environment.
Posted 1 day ago
AI/Machine Learning Engineer
RemoteMoonshot is committed to centering marginalized communities, including minority ethnic groups and the LGBTQIA+ population, in its mission to tackle online harms. They encourage diverse applicants and offer a unique opportunity for an AI/Machine Learning Engineer to join their Ireland-based development team. This role involves developing software systems aimed at combating issues like violent extremism and disinformation. The ideal candidate will have a passion for using AI/ML to derive insights from large datasets while maintaining a commitment to ethical practices in technology.
Posted 3 days ago
AI/ML Engineer
RemoteJoin Axonlab, a leading pan-European In vitro Diagnostics and medical IT company, as an AI/ML Engineer. With over 300 employees across Europe, we are innovating in the medtech eCommerce space. The ideal candidate will have 4+ years of experience in Data Science and AI, strong Python skills, and a solid understanding of machine learning principles. You will design end-to-end AI solutions, collaborate with various teams, and explore emerging technologies. Come and be a part of our exciting journey in the healthcare technology landscape.
Posted 3 days ago
AI/ML Engineer
RemoteProduct Heroes is seeking an AI/ML Engineer for Live Story, a next-generation platform transforming digital storytelling for brands. In this role, you will make the platform intelligent by automating creative and analytical processes, focusing on AI product development, collaboration with the product team, and contributing to MLOps and infrastructure. Your efforts will ensure that AI delivers significant value to the business through continuous monitoring and improvement.
Posted 4 days ago
AI/ML Engineer
RemoteJR Software Solutions, Inc. is seeking an AI/ML Engineer to join their collaborative team. The role involves designing and deploying machine learning models and AI-driven solutions, with a focus on Generative AI and cloud technology. Applicants should have strong skills in Python and SQL, and experience with big data tools. The position supports dynamic environments and offers a chance to contribute to innovative projects in intelligent systems across various industries.
Posted 4 days ago
AI/ML Engineer
RemotePlain Concepts is expanding its AI/ML team, seeking an AI Engineer passionate about crafting solutions for clients. The role involves training, deploying, and implementing innovative AI technologies. Candidates will collaborate on unique AI challenges, work on cutting-edge projects, and enjoy flexible work arrangements. Responsibilities include designing and developing AI solutions, building production-level ML/AI systems, automating deployments, and optimizing models for production.
Posted 5 days ago
AI/ML Engineer
RemoteIn a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible. Job Description: Parsons is looking for an amazingly talented AI/ML Engineer to join our team! What You'll Be Doing: Design, develop, and deploy AI/ML models and tools for data mining, predictive modeling, and knowledge discovery to enhance chemical and biological threat characterization. Build and optimize automated data pipelines for semantic/contextual chunking, named entity extraction, vector embedding, and relationship extraction. Integrate AI/ML-enabled capabilities into a secure, cloud-based data architecture, ensuring interoperability with existing systems via standardized APIs and the Model Context Protocol (MCP). Develop and maintain model cards documenting model purpose, training data, performance metrics, limitations, and ethical considerations. Implement and monitor model performance, data/concept drift, and key metrics in real time; support model retraining and fine-tuning as new data becomes available. Collaborate with data engineers, software developers, and stakeholders to define requirements, validate outputs, and support the creation of knowledge graphs and enriched data products. Ensure all AI/ML workflows comply with DoD cybersecurity, data privacy, and access control requirements, including operation within isolated cloud environments. Develop tools and dashboards for model explainability, transparency, and user interaction with AI/ML outputs. Participate in Agile sprints, contribute to backlog refinement, and support documentation for AI/ML components. Assist in knowledge transfer and training activities, including the development of tutorials and best practices for AI/ML usage. What Required Skills You'll Bring: Active Secret or higher security clearance. Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related technical field. 3-8 years of experience developing and deploying AI/ML models in production or enterprise environments. Proficiency with AI/ML frameworks and libraries (e.g., LangChain, LlamaIndex, TensorFlow, PyTorch). Experience building and maintaining data pipelines for machine learning, including data preprocessing, feature engineering, and model deployment. Strong programming skills in Python or similar languages. Experience with cloud platforms (e.g., AWS, Azure) and cloud-native AI/ML services. Familiarity with RESTful APIs and integrating AI/ML models into larger software systems. Understanding of data security, privacy, and access control best practices. Experience working in Agile development environments and collaborating with multidisciplinary teams. Strong analytical, problem-solving, and communication skills. What Desired Skills You'll Bring: Master’s degree in Data Science, Machine Learning, or a related field. Experience with large language models (LLMs), vector/semantic search, and advanced NLP techniques. Familiarity with DoD cybersecurity and data governance standards (e.g., NIST SP 800-171, STIG, RMF). Experience developing AI/ML solutions for knowledge graph construction and ontology-based reasoning. Experience with model explainability, bias detection, and ethical AI practices. Experience with containerization (Docker, Kubernetes) and secure model deployment. Experience integrating AI/ML solutions in classified environments (e.g., SIPR, JWICS). Prior experience supporting government or defense-related AI/ML projects. Security Clearance Requirement: An active Secret security clearance is required for this position.This position is part of our Federal Solutions team.The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now.Salary Range: $74,800.00 - $130,900.00We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!This position will be posted for a minimum of 3 days and will continue to be posted for an average of 30 days until a qualified applicant is selected or the position has been cancelled.Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY! Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/ .
Posted 6 days ago
AI/ML Engineer
RemoteExpression is seeking an experienced AI/ML Engineer to design, optimize, and evaluate machine learning capabilities for heterogeneous edge computing platforms. The role involves developing AI pipelines for intelligent signal characterization, supporting decision-making within resource-constrained environments. Ideal candidates should have strong expertise in applied machine learning, edge AI optimization, and production deployment of AI systems. Security clearance eligibility is required. Expression prioritizes client engagement for tailor-made solutions and has been recognized as a top government contractor.
Posted 1 week ago
AI/ML Engineer
RemoteFuture Works is a US-focused, AI-native professional services firm specializing in operational AI and data systems. As an AI/ML Engineer, you will design and build AI agent systems for managing complex transaction workflows at a large enterprise. The role emphasizes building agent capabilities, developing tools and integrations, and ensuring quality testing across transaction stages. Candidates should have experience in software or machine learning engineering, solid Python skills, and familiarity with financial analytics and NLP. The company promotes a culture of freedom and high performance with numerous remote work benefits.
Posted 1 week ago
AI/ML Engineer
RemoteJoin C-Serv as an AI/ML Engineer and contribute to building systems that operate large language models in a high-stakes production environment. This role offers the chance to work on cutting-edge AI technologies, focusing on real-world deployment and functionality. As part of the AI Core group in the UK, you'll be responsible for designing and implementing multi-agent systems, anomaly detection, and real-time inference layers. You'll enjoy ownership of your projects and be pivotal in transforming generative AI from prototypes into reliable products.
Posted 3 weeks ago
ML/AI Engineer
RemoteCanals is a rapidly growing company that builds software for wholesale distributors, focusing on automation and AI solutions. They aim to improve efficiency in operations, such as order processing and purchasing management. As AI becomes integral to their operations, Canals seeks an ML/AI Engineer to develop and scale intelligent systems, managing the full lifecycle of machine learning products. This position is ideal for engineers who enjoy end-to-end ownership of AI features in a collaborative environment.
Posted 2 weeks ago
Machine Learning Engineer, Agentic AI
RemoteAbout the team The Agentic AI team at Zillow is transforming the real estate industry by helping millions of people navigate one of the most important decisions of their lives with AI powered guidance. Our mission is to redefine the home shopping and transaction experience through an always-on assistant that combines deep real estate expertise, grounded data access, and advanced reasoning. This lean, cross-functional team of applied scientists and engineers delivers production-grade AI systems through strong collaboration, accountability, and technical rigor. Within the Agentic AI org, the Applied Reasoning team advances the reasoning depth, quality, and domain intelligence of Zillow’s AI agents. We build high-value agentic capabilities that require multi-step reasoning, structured synthesis, tool-grounded execution, and rigorous quality evaluation to operate reliably in live customer experiences. Our goal is to enable Zillow’s AI Assistant to reason, plan, and act with the depth and judgment of top-performing real estate professionals. About the role Zillow is seeking a Machine Learning Engineer to join the Applied Reasoning team within the Agentic AI organization . In this role, you will design, build, and productionize domain-specialized AI capabilities that power Zillow’s next generation real estate experiences. You will focus on advancing multi-step reasoning, structured synthesis, and tool-grounded intelligence that operates reliably at scale in live customer environments. You Will Get To: Design and build scalable AI infra and services to power agentic AI applications Develop advanced reasoning and agentic capabilities that enable AI agents to operate autonomously and adaptively in dynamic, real-world environments Implement monitoring, evaluation, and optimization processes to ensure reliability and responsiveness in production Stay at the forefront of agentic AI innovation, bringing emerging techniques into practical application to shape product direction. Collaborate closely with applied scientists, engineers, and product teams to translate experimental prototypes into robust production systems Contribute to best practices in distributed ML systems, scalable architecture, and responsible AI deployment This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $145,500.00 - $232,500.00 annually. This base pay range is specific to these locations and may not be applicable to other locations. #xa; #xa;In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $138,300.00 - $220,900.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside. Who you are You are a hands-on builder who thrives at the intersection of AI innovation and engineering excellence. You’re skilled at transforming cutting-edge ideas into production systems that scale. We are looking for someone who has: A Bachelor’s or Master’s in Computer Science or a related field 2+ years of experience building production ML systems and services Experience with AI agent frameworks, orchestration, or multi-step reasoning applications Strong programming skills in Python and experience with ML/AI frameworks such as TensorFlow, PyTorch, LangChain, and LangGraph Experience designing and operating scalable, cloud-based ML infrastructure Ability to work in cross-functional teams to ship impactful AI-driven features Get to know us At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company that's reshaping an industry and helping more people make home a reality. Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025 , and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow. No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together. Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Posted 4 weeks ago
AI/ML Engineer (GenAI)
RemoteJoin plainconcepts as an AI/ML Engineer where you will be part of an international team creating innovative AI solutions. In this role, you will be responsible for designing and implementing cutting-edge AI technologies, engaging in exciting projects, and enjoying the flexibility of working from home or the office. Bring your enthusiasm for AI and teamwork to make impactful contributions in a dynamic environment.
Posted 2 days ago
Engineering Manager, Applied AI & Machine Learning Engineering
RemoteSPD Technology is seeking an Engineering Manager specializing in Applied AI & Machine Learning to lead initiatives that generate insights from structured and unstructured data. The role emphasizes technical expertise, mentoring engineers, and aligning AI/ML projects with business goals. You'll work in a flexible, remote environment and foster a culture of collaboration and innovation. Your leadership will directly impact the success of AI/ML initiatives across various global locations.
Posted today
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Learn more →Remote AI Jobs Salary Data (July 2026)
This section summarizes salary information from 11,572+ 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 July 2026.
Average Salary
$112k
$151k
$204k
25th
50th
75th
Based on 11,572 roles currently tracked by LiftmyCV. Last updated on Jul 7, 2026
Salary Distribution
Based on 11,572 roles currently tracked by LiftmyCV. Last updated on Jul 7, 2026
| Experience Level | 25th Percentile | Median (50th) | 75th Percentile | Sample Size |
|---|---|---|---|---|
| Overall | $111,750 | $151,250 | $204,175 | 3,005 |
| Entry-Level | $28,520 | $41,600 | $83,200 | 15 |
| Mid-Level | $107,060 | $143,397.5 | $176,750 | 63 |
| Senior-Level | $148,625 | $190,100 | $229,625 | 56 |
"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.
Required Skills
Resume Tips
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.
How to Prepare for Interviews
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.

