Negotiable
Undetermined
Remote
United Kingdom
Summary: The role of AI Tutor – Economics at Mercor involves utilizing proprietary tools to label and evaluate economic data for AI model training. The position requires collaboration with technical teams to enhance model design and data quality while contributing to the development of new AI capabilities. Candidates must possess a PhD in Economics and demonstrate strong analytical and communication skills. The role can be performed remotely or from Palo Alto, CA, and offers competitive hourly compensation.
Key Responsibilities:
- Use proprietary tools to label, annotate, and evaluate data related to economics.
- Provide curated, high-quality datasets for AI model training across macroeconomics, microeconomics, and behavioral economics.
- Collaborate with technical teams to improve model design, refine annotation workflows, and enhance data quality.
- Contribute to the development of new AI capabilities through detailed feedback and analytical reasoning.
- Select and analyze complex problems in your field of expertise to help train models on nuanced economic concepts.
- Interpret evolving task instructions, maintaining accuracy and judgment in execution.
Key Skills:
- PhD in Economics or a closely related field.
- Strong proficiency in written and spoken English, with excellent communication and analytical abilities.
- Demonstrated ability to work independently and apply sound judgment with limited information.
- Exceptional attention to detail and strong organizational skills.
- Passion for innovation and the advancement of technology in economics.
- At least one publication in a reputable economics journal or equivalent research outlet (preferred).
- University teaching experience or prior academic mentorship (preferred).
- Familiarity with AI model training, data labeling, or annotation work (preferred).
- Comfort with recording short audio or video segments for research and training purposes (preferred).
Salary (Rate): £100.00/hr
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
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: AI Tutor – Economics
Type: Full-time
Compensation: $45–$100/hour
Location: Palo Alto, CA or Remote
Role Responsibilities
- Use proprietary tools to label, annotate, and evaluate data related to economics.
- Provide curated, high-quality datasets for AI model training across macroeconomics, microeconomics, and behavioral economics.
- Collaborate with technical teams to improve model design, refine annotation workflows, and enhance data quality.
- Contribute to the development of new AI capabilities through detailed feedback and analytical reasoning.
- Select and analyze complex problems in your field of expertise to help train models on nuanced economic concepts.
- Interpret evolving task instructions, maintaining accuracy and judgment in execution.
Qualifications
Must-Have
- PhD in Economics or a closely related field.
- Strong proficiency in written and spoken English, with excellent communication and analytical abilities.
- Demonstrated ability to work independently and apply sound judgment with limited information.
- Exceptional attention to detail and strong organizational skills.
- Passion for innovation and the advancement of technology in economics.
Preferred
- At least one publication in a reputable economics journal or equivalent research outlet.
- University teaching experience or prior academic mentorship.
- Familiarity with AI model training, data labeling, or annotation work.
- Comfort with recording short audio or video segments for research and training purposes.
Compensation & Legal
Hourly contractor
Paid weekly via Stripe Connect
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/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.