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Evals for Mercor

8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Mercor AI products.

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About Mercor

Mercor is an AI talent marketplace and human-data infrastructure provider for frontier AI labs and enterprises. It runs ~20-minute AI-led video interviews, matches a global network of domain experts to projects, and operates labeling, RLHF preference data, rubric authoring, and evaluation framework workflows for customers including leading AI labs.

Employees

~200

Industry

AI Talent & Data Labeling

Headquarters

San Francisco, CA

Website

mercor.com

Available eval packs for Mercor

8 packs ready to run.

Why eval Mercor AI

Mercor's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.

The Corsac eval library for Mercor measures four dimensions teams care about most when deploying ai platform agents:

  • Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
  • Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
  • Safety gates — does it escalate or refuse when it should, and only then?
  • Operator quality — does it preserve analyst trust by surfacing the right context at the right time?

Every eval pack above is hand-authored against Mercor's public product surface and runnable in Corsac with your own data.