Data Science Manager
About the role
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.
Responsibilities
- 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
Requirements / Qualifications 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
Preferred Qualifications
- Advanced degree in a related quantitative field
- Familiarity with R, Java, or Scala
Engagement Details
- 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
Application Process
- 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
Apply through Mercor to shape frontier AI research. ,
Data Science Manager
About the role
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.
Responsibilities
- 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
Requirements / Qualifications 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
Preferred Qualifications
- Advanced degree in a related quantitative field
- Familiarity with R, Java, or Scala
Engagement Details
- 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
Application Process
- 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
Apply through Mercor to shape frontier AI research. ,