About The Job
Mercor
connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
Benchmark
,
General Catalyst
,
Peter Thiel
,
Adam D'Angelo
,
Larry Summers
, and
Jack Dorsey
.
Position:
Professor in STEM Domains
Type:
W2 Employment
Compensation:
$55–$85/hour
Location:
Remote
Commitment:
30+ hours/week
Role Responsibilities
• Design challenging, real-world domain-specific problems for agentic tasks. Target core capability loss failures in frontier AI models.
• Integrate problems into an Agentic development environment using Python. Prepare detailed instructions, a golden solution, and consult with domain experts.
• Evaluate cross-model performance on tasks to identify logical reasoning failures.
• Identify tasks where the target model fails all tests. Classify failures as logical reasoning issues.
• Analyze agent steps to extract core capability loss patterns from the model.
Qualifications
Must-Have
• Current or retired professor within STEM, including ML, coding, data science.
• Degree in Computer Science, Data Science, or relevant STEM field.
• Ability to engage reliably for at least 30 hours/week during weekdays.
• Basic ability to work independently and manage time.
• Strong verbal and written communication skills.
Preferred
• Past experience in AI training, model evaluation, and data annotation.
Application Process (Takes 20–30 mins to complete)
• Upload resume
• AI interview based on your resume
• Submit form
Resources & Support
• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to:
[email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.