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Data Science Expert - Evaluation Specialist

Role overview

Qualifications

  • 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, A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders
  • Exceptionally strong written communication

Responsibilities

  • Design precise, task-specific grading criteria for real-world data science deliverables, including analyses, models, dashboards, and experiment readouts
  • Score AI-generated and human work samples against established criteria with detailed, well-reasoned written justifications
  • Apply consistent, evidence-based judgment to ensure scores are reproducible and defensible
  • Incorporate structured feedback from senior reviewers and iterate quickly on your work

Key facts

Hard skills

Other skills

  • Metric System
  • Detail Oriented

About the company

Mercor logo

Mercor

  • Job Boards & Talent Marketplaces
  • 51–200
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

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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, including analyses, models, dashboards, and experiment readouts.
  • Score AI-generated and human work samples against established criteria with detailed, well-reasoned written justifications.
  • Apply consistent, evidence-based judgment to ensure scores are reproducible and defensible.
  • Incorporate structured feedback from senior reviewers and iterate quickly on your work.
  • Collaborate with AI research teams to improve training data quality and downstream 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, 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: 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.

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