top of page
< Back

Generalist Expert

$40–$70/h

Remote

Role overview

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

This is a standing listing for generalists 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 generalists in the network to projects like:

- Writing prompts and reference answers on everyday questions that have a right answer, with the context a good response has to account for

- Grading model output on general reasoning: whether the answer is correct, whether it follows the instruction actually given, whether it is complete without padding

- Flagging where a model is confidently wrong, contradicts itself earlier in the same answer, or answers a question that was not asked

Most contracts in this field have paid $40 to $70 an hour, set per project by scope and depth.

What we're looking for

- Careful reading and sound judgment, from a professional or academic background in any field

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

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

Who this is for

This pool is for people whose work does not fit neatly into one of our specialist networks, or who work across several of them. If you looked through our other listings and none of them quite described you, this is the one.

No particular credential is required. What matters is that you read carefully and can say precisely why an answer is wrong.

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 generalist pool.

When a project needs general reasoning work, 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.

Similar jobs

211 Specialist · Micro1 · $30–$40/h · Remote

AI Agent Evaluator · Micro1 · $25–$45/h · U.S based

AI Safety Experts — English & Bengali · Mercor · $16–$22/h · Remote

You’ll be redirected to our partner’s application page

AI TRAINING OPPORTUNITY

bottom of page
Sporterer
OPEN OPPORTUNITIES

AI Training Opportunities

Loading opportunities…

Sporterer
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 →