Generalist job boards surface a lot of noise — candidates who list PyTorch on their CV but have never shipped a production model. RemoteAI lists only profiles reviewed by our team.
Reviewed talent pool
These are the types of AI & ML engineers available on RemoteAI. Profiles are checked one by one by our team before they go live.
Describe what you are building, which frameworks or models are involved, the expected deliverable, and your budget. No need to write a formal job description: a clear brief is enough, and matching reads the skills you name.
Our algorithm matches your post to the most relevant AI & ML engineers in the RemoteAI talent pool — filtering on stack, specialization, seniority, and availability. No manual sourcing required on your end.
Matched candidates apply directly. Browse profiles, watch video intros, and run interviews inside RemoteAI — then select the engineer you want to work with.
Negotiate terms and start working. RemoteAI does not take a cut of your contract. What you agree with your ML engineer is what you pay — nothing more.
Hiring a ai & ml engineer remotely starts with a clear, well-scoped job post. This guide covers what to include, how RemoteAI's matching works, and what you can expect at each step of the process.
Finding an ML engineer who actually ships is harder than it looks. The role sits at the intersection of research and engineering — you need someone who can design an ML pipeline, choose the right model architecture, handle training at scale, and hand off something production-ready. On RemoteAI, the most requested skills are Python, PyTorch, TensorFlow, and cloud ML platforms like SageMaker and Vertex AI. Senior engineers also bring experience with LLM fine-tuning, model evaluation frameworks, and feature store design.
A well-structured job post attracts the right ai & ml engineers and filters out irrelevant applications. Here is the exact process to follow on RemoteAI.
Describe what you are building, which frameworks or models are involved, the expected deliverable, and your budget. No need to write a formal job description: a clear brief is enough, and matching reads the skills you name.
Our algorithm matches your post to the most relevant AI & ML engineers in the RemoteAI talent pool — filtering on stack, specialization, seniority, and availability. No manual sourcing required on your end.
Matched candidates apply directly. Browse profiles, watch video intros, and run interviews inside RemoteAI — then select the engineer you want to work with.
Negotiate terms and start working. RemoteAI does not take a cut of your contract. What you agree with your ML engineer is what you pay — nothing more.
Looking to browse talent directly?
View reviewed AI & ML Engineering Jobs and contact them directly, no job post needed.
Be specific about the ML task: fine-tuning an LLM, building a recommendation engine, designing a computer vision pipeline. List the frameworks (PyTorch, TensorFlow, scikit-learn), the data scale, and what done looks like — a deployed model, a benchmark result, or a working API. Vague posts attract generalist applications; precise posts attract the right engineers.
RemoteAI's matching is proactive, not passive. When you post, RemoteAI matches your job to relevant reviewed ML engineers; paid posts are also emailed to matching talent. You can also browse profiles and contact people directly instead of waiting for applications.
Posting one job a month is free (open 14 days; jobs from companies without a verified website are reviewed first, paid plans for more). There is no recruiter fee, and no commission on contracts. Recruiting agencies usually charge a percentage of the first-year salary; RemoteAI charges no placement fee and no fee on what you pay the person you hire. You negotiate the freelance rate directly and that is the number you pay.
Senior LLM engineers, AI architects and specialists with production deployment experience usually charge more. Rates depend on seniority, country and scope. Put a budget or rate range in your job post and ask candidates for their rate in the first message; RemoteAI takes no placement fee on what you pay them.
Create a free account, then write a brief describing your ML project, the frameworks involved (PyTorch, TensorFlow, SageMaker), and your budget — no formal job description required. RemoteAI scores your post against reviewed ML engineers and shows you the closest profiles.