Remote AI Jobs
Remote AI jobs are open across the U.S. in technology, healthcare, financial services, and enterprise software, from entry-level prompt engineering and data annotation roles to senior machine learning engineer and AI research scientist positions on fully distributed teams. Employers hiring remote ais right now include CVS Health, Carrier, and Atmosera. Scan the live roles below and apply to whichever ones fit.
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As an artificial intelligence (AI) subject-matter expert, this position will support OTIS and the State’s AI Center of Excellence by providing technical expertise for the evaluation and responsible implementation of AI solutions. The role will assist state agencies and other government entities in assessing AI use cases, tools, risks and opportunities and developing secure, reusable technical approaches. The position will also contribute to statewide AI strategies and guidance that align with organizational goals and established governance, security and privacy requirements.
Daily Duties / Responsibilities:
1. Support the development and implementation of AI strategies that align with organization’s goals and objectives
2. Contribute to the AI review and approval process for use cases and vendors, ensuring they meet established compliance and operational requirements across the state.
3. Support and promote the adoption of standardized AI processes.
4. Support the State’s AI Center of Excellence by contributing technical expertise to the design of secure architectures, development of reusable technical patterns, use case development, prototyping, feasibility assessments and responsible implementation of AI solutions.
5. Develop and maintain a high level of expertise in AI, positioning Office of Information Technology Services as a leader.
Required skills:
(Please ensure candidate’s relevant experience is listed with appropriate supporting documentation)
- 1 year of proven experience with establishing proof of concept success criteria and evaluating AI solutions against criteria
- 2 years of hands-on experience with ChatGPT, Microsoft Copilot, and comparable generative AI platforms.
- 2 years of experience designing and implementing AI agents and retrieval-augmented generation (RAG) solutions.
- 1 year of experience using AI-assisted coding tools to accelerate development, testing, debugging, and documentation.
- 1 year of experience defining AI use case success criteria, key performance indicators (KPIs) and production monitoring measures for AI use cases.
- 1 year of experience building dashboards and reporting for AI adoption, performance, cost, risk, and operational outcomes.
- 1 year of hands-on experience integrating AI capabilities with Azure and AWS.
Preferred Skills:
- Background in a variety of programming languages and principals.
- Familiarity with the foundations of artificial neural networks (ANNs), transformers, natural language processing, image classification and time-series data.
- Experience with data tools and techniques for storing, retrieving, and cleaning data.
Required Education:
Undergraduate degree in computer science, data science, artificial intelligence, or related field required; advanced degree preferred.
OTHER SKILLS/DUTIES:
- Strong communication and knowledge-transfer skills.
- Advanced report writing ability.
- Excellent communication skills and relevant public speaking.
- Experience working on complex projects.
Job Types: Full-time, Contract
Pay: $60.00 - $90.00 per hour
Benefits:
- Health insurance
Education:
- Bachelor's (Required)
Experience:
- AI: 5 years (Required)
- ChatGPT: 3 years (Required)
- Microsoft Copilot: 3 years (Required)
- Generative AI: 3 years (Required)
- AI agents: 3 years (Required)
- RAG: 3 years (Required)
- Azure: 3 years (Required)
- AWS: 3 years (Required)
- KPIs: 3 years (Required)
- Data Science: 3 years (Preferred)
- Computer Science: 3 years (Preferred)
Location:
- Columbia, SC 29210 (Required)
Work Location: Remote
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Who's Hiring



Top Industries Hiring
- Education
- Insurance
- Automotive
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote AI jobs.
- Proficiency in Python and at least one major ML framework such as PyTorch or TensorFlow
- Experience building, training, and evaluating machine learning or deep learning models
- Familiarity with cloud ML platforms such as AWS SageMaker, Google Vertex AI, or Azure ML
- Strong foundation in statistics, linear algebra, and applied mathematics
- Experience deploying models to production and monitoring model performance over time
- Bachelor's or master's degree in computer science, data science, mathematics, or a related field
Tips for Your Remote AI Job Search
Build a portfolio that works asynchronously
Remote hiring managers review your work before they ever speak to you. Post documented projects on GitHub with clear READMEs, model cards, or annotated notebooks so reviewers can evaluate your thinking without asking you to explain it live.
Signal async communication skills in every application
Remote ai teams run on written handoffs, design docs, and Slack threads. Your cover letter and application emails are the first test. Write in plain, precise sentences, structure your points clearly, and skip the filler phrases that bloat async communication.
Apply early to remote roles that fit
Migrate Mate lists remote ai openings from across the U.S. in one place. Search by role type, find positions that match your skills and experience level, and apply directly without wading through non-remote listings mixed in.
Prepare for async-first remote interviews
Many remote ai teams use take-home coding or modeling assessments before any live call. Treat them like production work: write clean code, document your reasoning, and submit before the deadline. Rushed take-homes eliminate more candidates than poor live interviews.
Remote AI Jobs: Frequently Asked Questions
How do I get a remote ai job?
Remote ai employers screen for self-direction, clear async written communication, and the ability to move work forward without daily check-ins. Companies most likely to hire ais remotely are remote-first software firms, AI-native startups, and distributed enterprise tech teams. Candidates who document their work clearly, show comfort with tools like Slack and Notion, and can demo models or pipelines in a portfolio give themselves a real edge.
Which companies hire remote ais?
Employers currently hiring remote ais include CVS Health, Carrier, and Atmosera, per current remote listings on Migrate Mate as of August 2026. Remote ai roles tend to concentrate at remote-first technology companies, AI product startups, and large enterprise teams in software and financial services that run engineering on distributed schedules.
Can you get a remote ai job with no experience?
Yes, but remote entry-level ai roles are harder to land than on-site ones because employers expect you to work independently from day one without in-person guidance. Smaller AI-native startups and contract-to-hire roles are the most open to junior candidates. Showing a GitHub portfolio with annotated notebooks, a fine-tuned model project, or completed coursework from a recognized program can substitute for formal job experience.
Do you need a degree for remote ai jobs?
Not always. Remote employers weigh demonstrated skills heavily for ai roles, particularly for applied positions like prompt engineering, data annotation lead, or ML ops. A strong portfolio, verifiable open-source contributions, or completed certifications from recognized programs often carry more weight than a degree title alone, especially at startups and remote-first product companies.
Which industries hire the most remote ais?
Remote ai roles concentrate in Education, Insurance, and Automotive, based on current remote listings on Migrate Mate as of August 2026. Those sectors hire ais remotely because their product and data teams are already fully distributed, making async collaboration the default rather than an exception.
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