mercor
Mercor is seeking an ML Challenge Task Auditor to evaluate the quality and rigor of machine-learning tasks for training and evaluating AI models. The role involves assessing experiment design, providing rubric-based feedback to improve model performance, and critiquing ML claims against evidence. This is a remote contract position requiring strong hands-on ML experience and proficiency with standard frameworks.
Headquarters
San Francisco, California, United States
Company Size
51-200 employees
Founded
2023
Mercor is a platform that organizes human intelligence to power the AI economy, providing frontier research, RLHF data, and AI agent training at scale for top AI labs and enterprises. It connects a global network of experts — spanning law, medicine, finance, technology, and more — to AI-driven work opportunities through its APEX, Research, and Enterprise offerings. Founded in 2023 and based in San Francisco, Mercor serves both businesses seeking human intelligence for AI development and professionals looking to contribute to the frontier of AI.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for mercor.
63% above the average for this role
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