Company Intelligence

mecor

Elite expert network for frontier AI training

Hiring difficulty: Hard

Company 1 of 22

mecor recruits highly-credentialed experts (PhDs, senior engineers, licensed professionals) to produce domain-specific data, evaluations, and reasoning traces for frontier model labs. Work is asynchronous, project-based, and bar-raising.

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What they hire for

Domain experts (STEM, law, medicine, finance)
Senior software engineers for code evals
Reasoning & math contributors
Subject-matter reviewers and graders

Skills they value

Verifiable domain credentials
Technical writing and structured reasoning
Rubric-based evaluation
Clear citations and sourcing

Common rejection reasons

Credentials not verifiable on LinkedIn or public record
Generic resume with no deep specialization
Failed calibration / sample task
Inconsistent quality across screening prompts

Resume optimization tips

Lead with degree, institution, and publication count
Quantify domain experience in years and outputs
List concrete tools (LaTeX, Jupyter, peer-review platforms)
Add a single-line specialization headline

Interview preparation

Expect a paid calibration task before any call
Demonstrate structured chain-of-thought in writing
Cite primary sources, not summaries

Typical project types

Reasoning trace authoring
Model output grading with rubrics
Adversarial prompt design
Domain Q&A pair creation

Estimated pay ranges

$40–$150/hr depending on specialization and seniority

Application strategy

Apply with a domain-specific resume, not a generalist one
Link to publications, GitHub, or portfolio
Treat the sample task as the real interview

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