waypointjobs

mercor

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

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

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 Scientist Talent Network

Type:Contract

Compensation:$100–$150/hour

Location:Remote

Role Responsibilities

Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, and A/B test write-ups.

Evaluate AI-generated or human-created work against established criteria to ensure quality and consistency.

Provide detailed written justifications for evaluations and scores to maintain transparency and accountability.

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

Incorporate structured feedback from senior reviewers and iterate on submitted work for continuous improvement.

Work independently and asynchronously to meet deadlines and improve AI model performance.

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, machine learning, and experimentation.

Exceptional written communication skills.

Detail-oriented and consistent approach to evaluating complex work.

Comfort receiving feedback and calibrating judgment against established standards.

Application Process (Takes 20–30 mins to complete)

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Resources & Support

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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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