Job description
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: Data Science & Quantitative Analysis Expert
Type:Contract
Compensation:$60–$90/hour
Location:Remote
Commitment:35 hours/week
Role Responsibilities
Design complex analysis tasks simulating real research work, including data cleaning, statistical analysis, and interpretation.
Author clear, reproducible reference analyses in Jupyter Notebooks or Google Colab.
Build tasks for fair comparison between analytical approaches, backed by spot checks and recommendations.
Evaluate how models handle tasks and verify the accuracy of their statistics and conclusions.
Collaborate with researchers to ensure consistent and accurate evaluations.
Qualifications
Must-Have
MSc or PhD in statistics, data science, or a quantitative STEM field, or equivalent experience.
1+ years in a research, research-engineering, or heavy data-analysis role.
Proficiency in Python (pandas, NumPy) and Git.
Strong data-analysis skills: data cleaning, statistical correlation, hypothesis testing, and result interpretation.
Ability to communicate analytical findings effectively in writing.
Preferred
Experience in AI training, model evaluation, or benchmark/task authoring.
High attention to detail and creativity in task design.
Compensation & Legal
Hourly contractor, Paid weekly via Stripe Connect
Application Process (Takes 20–30 mins to complete)
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Resources & Support
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PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.