Mercor · Software & coding

Machine Learning Engineer Talent Network - review AI outputs in your specialty

Listed on Mercor as “Machine Learning Engineer Talent Network”

$70-$250/hrRemoteContractPaid in USD

What this actually is

You review AI-generated code, rank model outputs against each other, write prompts that test edge cases, and provide expert feedback that gets used to train coding models. Not shipping production software. The platform title (Machine Learning Engineer Talent Network) reflects the rate band and the expertise required, not the day-to-day work.

Can you do this on your visa?

F-2 / F-4 / F-5 / F-6: open. E-1 to E-7: needs concurrent-employment permit. D-2 / D-4 students: S-3 permit, 20 hr/week cap. D-10 / D-8: case by case.

Korean tax on USD income

First 5 years in Korea: foreign-source income only taxed if remitted into Korea. After year 5: worldwide income. Full tax guide.

Original posting from Mercor

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.

Quoted from Mercor’s public listing on 2026-06-02. We don’t edit platform copy; honest framing is in the title and the “what this actually is” block above.