Data Science Specialist - Fully Remote

Company Introduction

Mercor

Benchmark

General Catalyst

Peter Thiel

Adam D'Angelo

Larry Summers

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.