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Data Scientist (Remote Part-Time | $100 –$120/hr)
Data Scientist (Remote Part-Time | $100 –$120/hr)Call For Referral • San Francisco, CA, United States
Data Scientist (Remote Part-Time | $100 –$120 / hr)

Data Scientist (Remote Part-Time | $100 –$120 / hr)

Call For Referral • San Francisco, CA, United States
2 days ago
Job type
  • Part-time
  • Remote
Job description

Data Scientist (Remote Part-Time | $100–$120 / hr)

Work with Mercor, partnering with a leading AI research lab to conduct AI task evaluation and statistical analysis. This is a part-time, hourly contract position based at 20–25 hours per week, remote and asynchronous, starting immediately.

About the Role

As an AI Task Evaluation & Statistical Analysis Specialist, you will perform comprehensive failure analysis on AI agent performance across finance‑sector tasks, identify systemic patterns, diagnose bottlenecks, and improve evaluation frameworks.

Key Responsibilities

  • Statistical Failure Analysis : Identify recurring patterns in AI agent failures across task components (prompts, rubrics, file types, tags, etc.).
  • Root Cause Analysis : Determine whether issues stem from task design, rubric clarity, file complexity, or agent limitations.
  • Dimensional Analysis : Examine performance variations across finance sub‑domains, file structures, and evaluation criteria.
  • Visualization & Reporting : Build dashboards and analytical reports that highlight edge cases, performance clusters, and improvement opportunities.
  • Framework Enhancement : Recommend refinements to rubric design, evaluation metrics, and task structures based on empirical findings.
  • Stakeholder Communication : Present key insights to data labeling teams, ML engineers, and research collaborators.

Required Qualifications

  • Strong foundation in statistical analysis, hypothesis testing, and pattern recognition.
  • Proficiency in Python (pandas, scipy, matplotlib / seaborn) or R for data analysis.
  • Hands‑on experience with exploratory data analysis and feature interpretation.
  • Understanding of AI / ML evaluation methodologies and LLM performance metrics.
  • Skilled in using Excel, SQL, and data visualization tools (Tableau, Looker).
  • Preferred Qualifications

  • Experience with AI / ML model evaluation or quality assurance pipelines.
  • Background in finance or a strong interest in finance domain structures.
  • Familiarity with benchmark datasets, failure mode analysis, and evaluation frameworks.
  • 2–4 years of relevant professional experience in data science, analytics, or applied statistics.
  • More About the Opportunity

  • Commitment : Part‑time, 20–25 hours / week.
  • Schedule : Fully remote and asynchronous.
  • Duration : 1–2 months, with strong potential for extension.
  • Start Date : Immediate.
  • Compensation & Contract Terms

  • Hourly Rate : $100–$120 / hr (based on experience and region).
  • Payments : Weekly via Stripe Connect for approved work.
  • Seniority Level

    Mid‑Senior level

    Employment Type

    Part-time

    Job Function

    Engineering, Information Technology, and Finance

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