Talent Job Seeker

Data Science Expert - Fully Remote | Upto $150/hr

  • New York
  • Full-time

About the position

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 Scientist Talent Network Type: Contract Compensation: $100–$150/hour Location: Remote Role Responsibilities Design precise, task-specific grading criteria for data science deliverables. This includes exploratory data analyses , statistical modeling work , machine learning pipelines , and technical reports. Evaluate AI-generated or human-created work against established criteria to ensure quality and accuracy. Provide detailed written justifications for evaluations and scores to maintain transparency. Apply consistent, evidence-based judgment for reproducible and defensible assessments. Incorporate structured feedback from senior reviewers and iterate on submitted work for continuous improvement. Qualifications Must-Have 1+ years of professional data science experience. Experience at a leading technology, research, or quantitative firm. Strong command of Python , SQL , statistical modeling , and machine learning . Exceptional written communication skills for conveying technical findings. Detail-oriented and consistent approach to evaluating complex work. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Place of work

Talent Job Seeker
New York
app.general.countries.United States

About the company

51-200 Personnel Services

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Fair Compensation

Fair pay and attractive terms

Onboarding

A Structured Start from Day One

A supportive team

Mutual Respect and Open Collaboration

Future Outlook

A Secure Job with Growth Opportunities

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