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The research teams behind the best-known AI models come to Mercor for data judgment they can't generate on their own. Your standards and expertise become the rubric that frontier AI is graded against.

This is a standing listing for analysts and data practitioners who want AI training and evaluation work, not a specific job opening. It stays open whether or not a matching project is running this week.

New projects start on short notice, so instead of posting and pulling a listing each time, we keep one open per field and draw from it when one begins.

What the work looks like

We match data practitioners in the network to projects like:

• Writing an analysis problem from work you actually shipped, with the data, the question, and the constraint, plus the reference answer a model's attempt gets graded against

• Grading model-written analysis and pipelines: whether the query answers the question that was asked, whether the join fans out, whether the metric means what the model says it means

• Flagging where a model produces a technically valid result that would mislead a decision-maker, given selection effects, leakage, or a metric that does not track the outcome

What we're looking for

• Professional experience in analytics, data engineering, statistics, or machine learning

• Clear written communication, since most of the work involves explaining your reasoning

• Comfort with ambiguous tasks, and willingness to flag unclear instructions

What this covers

This pool spans data analysis, including:

• Business intelligence

• Data engineering

• Statistics

• Machine learning

Where you trained matters less than whether you have shipped analyses someone made a decision on.

How it works

Apply here with your resume and confirm where you work from, then take a short AI interview, about 20 minutes total.

We verify your background and add you to the data analysis pool.

When a project needs your specialty, we invite matching people from the pool to that specific listing. It names the rate, the hours, and the client, and any hiring decision is made there.

What to expect

This listing does not accept or reject candidates, so you will not get a decision on it. We reach out when a project matches your background. Depending on what our clients are running, that can be within a week or several months.

Finishing the domain expert interview and joining every network you qualify for both improve your odds of being matched. You only need to sign up once to be eligible across all of them.