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mercor

Data Science Specialist - Fully Remote | Upto $170/hr

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

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Job description

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 Science Expert

Type:Contract

Compensation:$120–$170/hour

Location:Remote

Role Responsibilities

Design precise, task-specific grading criteria for real-world data science deliverables such as analyses, models, dashboards, and experiment readouts.

Score AI-generated and human work samples against criteria with detailed written justifications for every score.

Apply consistent, evidence-based judgment to ensure scores are reproducible and defensible.

Incorporate structured feedback from senior reviewers and iterate quickly on your work.

Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

5+ years of professional data science experience in industry.

Background in business operations, product, or growth data science at top-tier technology companies.

Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders.

Exceptionally strong written communication.

Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers.

Preferred

Prior experience with AI training, evaluation, or human-data projects.

Application Process (Takes 20–30 mins to complete)

Submit your resume or relevant technical background to get started.

Qualified applicants may be asked to complete a brief technical assessment or submit additional information.

Resources & Support

For details about the interview process and platform information, please check:

For any help or support, reach out to:

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

Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

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