Data Scientist – Remote ($80 –$120/hr)

Data Science Expert

Hourly Contract | Part-time Remote | $80–$120 per hour

About the Role

A leading AI research initiative is recruiting experienced Data Science professionals to support high-impact collaborations with top AI labs. In this role, you will help improve AI systems through code validation, prompt refinement, algorithmic evaluation, and model benchmarking — applying your data expertise to shape the next generation of intelligent systems.

Key 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 performance and capabilities.

Ideal Qualifications

• 3+ years of experience in data science, machine learning, or applied statistics (industry or research).
• Degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related quantitative field (Bachelor’s minimum; advanced degree preferred).
• Strong proficiency in Python and SQL; familiarity with R, Java, or Scala is a plus.
• Hands-on experience building and deploying ML models with scikit-learn, TensorFlow, or PyTorch.
• Skilled in statistical analysis, data wrangling, and feature engineering on large datasets.

Project Details

• Start Date: Immediate.
• Duration: 1–2 months.
• Commitment: Part-time, 15–25 hours/week (flexibility up to 40 hours/week).
• Schedule: Fully remote & asynchronous — flexible working hours.

Compensation & Contract

• Competitive hourly rate: $80–$120 USD/hr.
• Independent contractor classification.
• Daily payments issued via Stripe Connect.

Application & Onboarding Process

1. Upload your resume.
2. Complete a short AI-led interview (~15 minutes).
3. Follow-up communication within a few days with next steps and onboarding details.

PS: Mercor team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.