Job Description
Company Introduction
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.
Role Overview
- Position: Data Science Professional – Freelance, Remote
- Commitment: 15–25 hours/week, flexible up to 40 hours/week
- Duration: 1–2 months
- Support high-impact research collaborations with leading AI labs. Improve AI systems through code validation, prompt refinement, algorithmic evaluation, and model benchmarking.
- Review and refine AI-generated prompts, responses, and code
- Validate concepts for technical accuracy
- Provide structured feedback on solution quality and clarity
- Tag and organize content by topic and difficulty
- Support benchmarking efforts to assess model capabilities
Must-Have Qualifications
- 3+ years of experience in data science, machine learning, or applied statistics
- Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field
- Strong proficiency in Python and SQL
- Hands-on experience building and deploying machine learning models using frameworks like scikit-learn, TensorFlow, or PyTorch
- Experience with statistical analysis, data wrangling, and feature engineering on large datasets
- Advanced degree in a related quantitative field
- Familiarity with R, Java, or Scala
- Start Date: Immediate
- Compensation: $80–$120 USD/hr, competitive hourly rate based on experience
- Contract: Independent contractor
- Payment: Daily via Stripe Connect
- Schedule: Fully remote and asynchronous
- Upload resume
- AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role
- Follow-up communication within a few days with next steps and onboarding details
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