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Machine Learning Engineer Talent Network

$70–$250/h

Remote

Role overview

About Mercor’s talent network

Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise. This is an open application for future contract opportunities that match your background and interests.

Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis.

About Mercor projects

Experts in our network contribute to:

- Training and evaluating AI models in Machine Learning Engineering

- Creating tasks and deliverables based on real-world scenarios

- Providing domain-specific feedback to advance frontier AI research

Projects vary in scope and duration, with typical commitments ranging from 15-30 hours per week.

What we're looking for:

- Professional experience in machine learning model development, Python & ML frameworks (PyTorch/TensorFlow), model deployment & MLOps

- Strong communication skills

- Ability to work independently in a remote environment

How it works:

This is not a specific job posting. By applying, you're joining our Machine Learning Engineer talent network.

- Apply once: Complete your profile by uploading your resume and confirming your work location.

- Get verified: We review your credentials and approve qualified experts.

- Stay connected: When projects need Machine Learning Engineering expertise, we match you to opportunities based on your expertise and project needs.

- Start working: Be invited to interview for opportunities that align with your schedule and interests. You will earn competitive rates while working remotely on your own schedule.

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Future of work · September 2026

How big is the remote / hybrid opportunity?

Remote work is already huge — but the bigger story may be the hundreds of millions of jobs that could still move beyond geography.

Global remote and hybrid work opportunity infographic

Remote work already connects millions of people with companies they would never have been able to work for a decade ago. But compared with the size of the global labour market, it may still be early.

The interesting number is not only how many people work remotely today — it is how many roles could plausibly become remote or hybrid next.

The chart above starts with roughly 3.3 billion people employed worldwide. Around 300 million jobs are already remote or hybrid, while an additional pool of roughly 250 million roles could potentially move in that direction as technology, workflows and company culture continue to change.

Skills are becoming more portable

This matters because more work can increasingly be matched to expertise rather than location. AI training and evaluation are a good example: companies need lawyers, engineers, designers, editors, researchers, finance professionals and many other specialists to help improve AI systems.

For workers, that creates access to projects outside their local market. For companies, it expands the talent pool from one city or country to the world.

Explore remote opportunities →