8,315 Remote Artificial Intelligence (AI) Jobs - June 2026
Remote AI jobs in June 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/Machine Learning Engineer
RemoteOddball is seeking an AI/ML Engineer to join their remote team, focusing on intelligent automation for a federal financial regulatory agency. The role involves designing, developing, and deploying AI/ML models, building ML pipelines in AWS, and collaborating with teams to improve workflows. Ideal candidates will have production experience with machine learning models, proficiency in Python, and the ability to work in agile environments. The position also requires US work authorization and may involve federal background checks.
Posted 1 week ago
AI & ML Engineer
RemoteSandstone seeks an AI & ML Engineer to build AI-native operating systems for in-house legal teams. The role involves creating production AI systems, enhancing document understanding, and translating legal judgment into product behavior. As part of an elite team, you will collaborate across disciplines to deliver useful and trustworthy AI solutions in the legal domain. Experience in building applied AI products and strong software engineering fundamentals are essential. This position offers competitive benefits in a dynamic and collaborative environment.
Posted 2 days ago
AI/ML Engineer
RemoteRackner is seeking an AI/ML Engineer to design, develop, and deploy advanced machine learning solutions for mission-critical systems. This role focuses on building scalable models and collaborating with cross-functional teams. Required qualifications include proficiency in model architecture design, experience with frameworks like PyTorch or TensorFlow, and strong problem-solving skills. Preferred qualifications include cloud deployment experience and familiarity with MLOps practices. The position offers weekly pay, professional growth investments, and comprehensive benefits.
Posted 2 weeks ago
AI/ML Engineer
RemoteXebia, a leading digital transformation partner, is seeking an AI/ML Engineer to design and implement AI solutions for clients across various sectors. The ideal candidate will have 3-6 years of experience in ML engineering, strong Python skills, and experience with cloud-based ML services. You will work on developing AI agents, building machine learning models, and collaborating with cross-functional teams. Xebia serves a wide array of clients, emphasizing engineering excellence and a people-first culture in a dynamic work environment.
Posted 3 weeks ago
AI & ML Engineer
RemoteBuilt Robotics seeks an AI & ML Engineer to develop and optimize machine learning systems that enhance the autonomy and safety of construction robots. You will work on scalable ML infrastructure and analyze large datasets to improve model performance. The ideal candidate has a strong background in computer science or a related field, along with substantial experience in machine learning and Python. Built Robotics offers competitive salaries and comprehensive benefits as part of its mission to automate the solar industry's workforce gap. Join us in transitioning to clean energy.
Posted 3 weeks ago
Data & AI/ML Engineer
RemoteJoin System as a Data & AI/ML Engineer, where you will help design scalable data pipelines and ML infrastructure in the healthcare sector. Ideal candidates will have a background in data or ML engineering and proficiency in Python and SQL. You will collaborate closely with research and data science teams to bring findings into production, ensuring high availability and reliability of healthcare data products. If you are motivated by purpose-driven work and thrive in complex environments, this role is a great fit.
Posted 2 days ago
ML/AI Engineer
RemoteLevio is seeking an ML/AI Engineer to develop and implement machine learning algorithms. The role requires collaboration with cross-functional teams and a strong understanding of AI technologies. Candidates should have experience in coding with Python or R and be comfortable working with large datasets. The position offers opportunities for career growth in a dynamic environment focused on innovation.
Posted 1 week ago
Machine Learning Engineer (Agentic AI)
RemoteJoin the AI Transformation Team at Furiosa AI, focused on developing innovative solutions using AI to address engineering challenges. This role emphasizes building autonomous systems that evolve through feedback and experimentation, with a goal of freeing engineers from repetitive tasks to enhance creativity and decision-making. A strong foundation in machine learning frameworks and experience with agent-based systems is essential for this position, which actively contributes to the ongoing development of cutting-edge AI technologies in real-world applications.
Posted 2 weeks ago
Staff Machine Learning Engineer, AI Generation Engine
RemoteJoin SandboxAQ, a fast-growing company emerging from Alphabet Inc., delivering AI solutions across various sectors. The role focuses on the AI Generation Engine (SAIGE) team, responsible for developing innovative AI-first SaaS products leveraging large quantitative models. As a Machine Learning Engineer, you will own the entire ML lifecycle and work collaboratively with a team of experts to rapidly iterate and implement scalable solutions. This position offers the opportunity to be part of a diverse team, all while fostering creativity, collaboration, and significant impact.
Posted 1 week ago
Senior Machine Learning Engineer, AI Generation Engine
RemoteSandboxAQ is looking for a Senior Machine Learning Engineer to join its AI Generation Engine (SAIGE) team. The role involves managing the entire ML lifecycle, from data exploration to scalable production deployment of AI products. Candidates should possess extensive experience in ML model development and have a strong background in software engineering. The position promotes collaboration within a diverse team of experts and offers a supportive environment for professional growth. Competitive compensation and benefits are provided, making it an attractive opportunity for those passionate about AI solutions.
Posted 1 week ago
Senior AI/ML Engineer
RemoteThe Senior AI/ML Engineer at Natera will design, build, and deploy Generative AI and Machine Learning platforms. This role will focus on creating robust systems that enhance patient outcomes. Key responsibilities include developing enterprise-grade AI systems, implementing AI solutions, and ensuring compliance with healthcare standards. Candidates should have extensive experience in software and ML engineering, particularly in building production-grade systems. A background in healthcare or related fields is preferred, along with strong leadership and mentoring abilities.
Posted 3 days ago
Staff AI/ML Engineer
RemoteNeural Earth is seeking a Staff AI/ML Engineer to advance its geospatial AI capabilities. In this role, you will design and implement state-of-the-art models that provide critical insights from geospatial data. Working within the AI/ML team, your responsibilities include developing reliable AI pipelines, mentoring team members, and bridging data science with software engineering. The successful candidate should have a strong foundation in deep learning and be able to translate business goals into technical priorities. The salary range for this position is $165,000 to $196,000 annually.
Posted 1 week ago
Junior AI/ML Engineer
Remotetensorops is seeking a passionate Junior AI/ML Engineer to join their remote team. The ideal candidate will work with experienced engineers on innovative projects. Responsibilities include assisting in the development of machine learning models and data analysis. This role offers an excellent opportunity for professional growth and learning in the AI/ML domain.
Posted 2 weeks ago
Senior AI/ML Engineer
RemoteBloomreach is seeking a Senior AI/ML Engineer to join their Artificial Intelligence team and innovate marketing through ML-powered solutions. In this role, you will design and maintain ML features in production, ensuring they are scalable and deliver tangible value to users. You will collaborate with Data Science engineers and other stakeholders, apply Agile and DevOps principles, and work with a variety of technologies. This position supports remote work and offers a competitive salary along with stock options and a comprehensive benefits package.
Posted 3 weeks ago
Architect / Principal, AI ML Engineer
RemoteJoin 3Pillar Global as an AI/ML Architect, where you'll lead the design and implementation of scalable AI solutions across multiple domains. With a strong IT services background, your expertise will guide emerging technologies and align AI initiatives with business objectives. You will also mentor teams and drive innovation while ensuring ethical practices in AI development. This position offers a flexible remote work environment, making it perfect for talented professionals looking to advance their careers in a collaborative and global setting.
Posted 1 week ago
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Remote AI Jobs Salary Data (June 2026)
This section summarizes salary information from 8,315+ 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 June 2026.
Average Salary
$130k
$175k
$207k
25th
50th
75th
Based on 8,315 roles currently tracked by LiftmyCV. Last updated on Jun 7, 2026
Salary Distribution
Based on 8,315 roles currently tracked by LiftmyCV. Last updated on Jun 7, 2026
| Experience Level | 25th Percentile | Median (50th) | 75th Percentile | Sample Size |
|---|---|---|---|---|
| Overall | $130,000 | $175,325 | $206,875 | 4,108 |
| Entry-Level | $26,450 | $53,120 | $90,952.5 | 15 |
| Mid-Level | $135,000 | $169,500 | $201,875 | 66 |
| Senior-Level | $165,000 | $190,000 | $217,000 | 53 |
"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.