Remote Generative AI Engineer Jobs
Remote Generative AI Engineer jobs are open across software, fintech, healthcare AI, and enterprise SaaS at remote-first firms and distributed product teams, from mid-level engineers building retrieval-augmented generation pipelines to senior architects leading model deployment. Employers hiring remotely right now include Innodata, Tiger Analytics, and Accenture Federal Services. Scan the live roles below and apply to whichever ones fit.
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Generative AI Video Lesson Creator
Project Description
Study.com is the leading educational website with lessons, courses, and practice for students, teachers, and adult learners. We are building three new college-level courses focused on working with generative AI tools and we are seeking College Lesson Video Creators who are subject-matter experts that is able to record short, narrated screen-capture walkthroughs that demonstrate AI-tool tasks. This is a remote contractor role.
Educational Level Required:
Bachelor's degree in a domain-relevant field required; Master's degree and/or college teaching experience preferred.
Years of Experience Needed
Two or more years of hands-on experience in the relevant domain. Screen-recording or tutorial experience is a plus, not required.
Required Skills:
AI Tool Literacy
- Demonstrated hands-on experience with generative AI tools (ChatGPT, Claude, Gemini, Copilot) in real professional workflows — practical adoption, not just awareness
- Ability to distinguish transformative AI capabilities
- Strong judgment for evaluating AI output quality — can spot when a model's output is plausible but wrong, incomplete, or misleading in a professional context
- Working awareness of prompt engineering fundamentals as applied to their domain
Video Recording & Instructional Delivery
- Able to screen-record a 4–6-minute walkthrough with clear spoken narration
- Appropriate recording equipment for high-quality video (clean audio, 1080p screen capture)
- Proficiency with screen recording and light video editing software (Camtasia, Loom, OBS Studio, ScreenFlow, or equivalent); candidates must own or have access to their preferred tool
- Comfort with light video touch-up (intro plus watermark logo)
- Comfortable with voiceover narration; clear, natural delivery at a pace appropriate for instructional content
- Able to structure a video lesson effectively: clear setup, logical sequencing of steps, and a summary that reinforces key takeaways
Communication:
- Can write and speak clearly for non-technical college learners
- Strong written communication — feedback and scripts must be specific, well-organized, and actionable
- Able to distinguish personal preference from principled critique when reviewing materials
- Comfortable working asynchronously with an in-house team
Critical Evaluation:
- Can assess whether an exercise or scenario reflects actual professional practice
- Can identify gaps between stated learning objectives, the skills being taught, and what learners would actually need to complete a task
Additional Preferred Skills:
Candidates must have working experience in at least one of the three course domains:
- Business Analytics with AI
- Business Communication with AI
- Responsible & Ethical AI Use
We're not looking for AI specialists — we need working professionals who use everyday LLMs (ChatGPT, Claude, Gemini) as part of how they already do their jobs.
- Active practitioner in their field — a working analyst (SQL, Excel/Sheets, Python/R or a BI tool), a professional in a communication-heavy role (marketing, comms, consulting, client management, HR), or someone who handles AI-use decisions in practice (policy, privacy, disclosure, bias, appropriate use)
- Uses LLMs in that work routinely — e.g., writing queries and interpreting results; drafting, editing, and adapting business writing; or navigating responsible-use questions — and can demo it on screen
- Sound judgment on AI output — knows when a response is generic, off-tone, or wrong, and can frame both good and problematic use patterns in a practical way non-technical learners can act on
Nice to Have:
- Prior screencast, tutorial, or narrated-walkthrough experience
- AI certificates or an AI-assisted work portfolio
- Prior experience mentoring, leading internal training, or developing SOPs/documentation
- Familiarity with adult learning principles or instructional design concepts — informal, on-the-job exposure is sufficient
- Experience as a student in professional development courses and a strong sense of what "good" looks like from the learner's perspective
What We Offer:
- Reliable Payments: You'll receive payments twice a month and automated invoicing for your work.
- Remote Work: This is a fully online contracted work-from-home opportunity.
- Flexibility: Work when you want, where you want, and select projects that most interest you.
- Support: Our supportive staff is available answer your questions and help you get up and running.
About Study.com
The mission of Study.com is to make education accessible, and over the last two decades we've become the leading online education platform, delivering a personalized learning experience across a broad continuum of education for over 30 million students, instructors, and professionals every month.
We help empower millions of learners to achieve their education and career goals. We focus on increasing access to education because we know information is the ultimate equalizer and that education is key to upward mobility.
Feel free to share this opportunity with any friends you think would be interested, too.
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Find JobsRemote Generative AI Engineer Job Market
Who's Hiring
- Innodata25

- Tiger Analytics3

- Accenture Federal Services3

- BV Teck2

- Truveta2

Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in remote generative AI engineer jobs.
- Proficiency in Python and deep learning frameworks such as PyTorch or JAX
- Hands-on experience fine-tuning or prompting large language models like GPT, Llama, or Gemini
- Experience building and deploying retrieval-augmented generation pipelines
- Familiarity with model serving infrastructure including APIs, containerization, and cloud platforms
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Understanding of evaluation frameworks, safety considerations, and responsible AI practices
Tips for Your Remote Generative AI Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote generative ai engineer openings from across the U.S. in one place. Search by role, find listings that match your stack and seniority, and apply directly. Remote roles at strong companies fill fast, so moving early matters.
Ship a public generative AI project
Remote employers can't watch you work, so your portfolio does the proving. Build and deploy something real, whether a RAG pipeline, a fine-tuned assistant, or an LLM-powered API. Document your design decisions in a README or technical post so hiring managers see how you think.
Show async communication in your application
Remote generative ai engineer teams run on written communication. Write a clear, structured cover note that explains your approach to a recent LLM integration problem. Candidates who demonstrate precision and brevity in writing stand out immediately on distributed teams.
Prepare for remote technical screens with real tooling
Remote interviews for generative ai engineers often use shared coding environments or take-home prompts involving LangChain, OpenAI APIs, or vector store integrations. Practice explaining your retrieval and chunking strategy out loud, since async screeners and synchronous walkthroughs both test how you articulate architectural decisions.
Remote Generative AI Engineer Jobs: Frequently Asked Questions
How do I get a remote generative ai engineer job?
Remote generative ai engineer roles go to candidates who can demonstrate independent delivery, not just technical knowledge. Remote employers screen hard for async written communication, the ability to scope and ship LLM-powered features without hand-holding, and hands-on fluency with tools like LangChain, vector databases, and prompt engineering frameworks. A public GitHub repo, a deployed project, or a technical write-up of a model integration gives you a concrete edge over candidates who only list skills.
Which companies hire remote generative ai engineers?
Employers currently hiring remote generative ai engineers include Innodata, Tiger Analytics, and Accenture Federal Services, per current remote listings on Migrate Mate as of August 2026. Remote-first software companies, AI-native startups, and distributed enterprise teams in sectors like fintech, healthcare technology, and developer tooling tend to hire generative ai engineers without location restrictions.
Can you get a remote generative ai engineer job with no experience?
Yes, but remote entry-level generative ai engineer roles are harder to land because you're expected to ramp up and ship with minimal oversight from day one. Companies most open to junior remote candidates are early-stage AI startups and open-source-driven firms. What opens the door is a portfolio of real generative AI projects, contributions to open-source LLM tooling, or a documented personal project that integrates a foundation model into a working application.
Do you need a degree for remote generative ai engineer jobs?
Not always. Remote employers in generative AI weigh demonstrated technical ability over formal credentials more than most engineering disciplines do, partly because the field moves faster than university curricula. What matters most is provable fluency with large language models, retrieval systems, and deployment pipelines. A strong project portfolio, relevant certifications, or prior contributions to AI tooling can outweigh a missing degree at many remote-first companies.
Which industries hire the most remote generative ai engineers?
Most remote generative ai engineer openings sit in Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, per current remote listings on Migrate Mate as of August 2026. Those sectors hire generative ai engineers remotely because their product and platform teams are already distributed and built around async collaboration.
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