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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