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mercor

mercor

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

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Fully RemoteEngineeringUnited States

Salary

Not listed

Posted

1mo ago

Work setup

Fully Remote

Data ScienceAI EvaluationMachine LearningStatistical AnalysisQuality Assurance

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)

  • Upload resume
  • AI interview based on your resume
  • Submit form

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.

Before you apply

  • Confirm async-friendly culture vs daily standup-heavy expectations
  • Ask about on-call rotation and incident expectations
  • Check the tech stack matches what you actually want to use day-to-day

Interested in this role?

Apply on the original posting. No account required.

Listing via Himalayas

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