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: Academic Research Collaborator - Professors & PhDs Type: Contract Compensation: $80–$110/hour Location: Remote
Role Responsibilities
- Design challenging, real-world domain-specific problems in areas like financial modeling , legal reasoning , econometrics , ML , and coding . Focus on addressing core capability loss failures in frontier AI models .
- Integrate problems into an Agentic development environment using Python . Prepare all necessary components for robust task execution.
- Evaluate the target model's performance on designed tasks. Analyze outcomes to improve model reasoning and outputs.
- Identify tasks where the model fails to pass tests. Classify failures as logical reasoning issues to guide future improvements.
- Collaborate with domain experts to enhance AI model training and ensure task relevance and accuracy.
Qualifications
Must-Have
- Current or retired professor, or PhD student , in STEM or professional/quantitative domains.
- Degree or PhD in progress from a top university.
- Working proficiency in Python applied in research, industry, GitHub , or coursework.
- Ability to engage reliably for 30+ hours/week during weekdays.
- Basic ability to work independently and manage time effectively.
- Strong verbal and written communication skills.
Preferred
- Past experience in AI training , model evaluation, and data annotation.
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: support@ mercor .com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas