Join to apply for the Data Scientist | $120/hr Remote role at Crossing Hurdles This range is provided by Crossing Hurdles. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $100.00/hr - $120.00/hr Direct message the job poster from Crossing Hurdles Founder | Recruitment Consultant | Helping Companies Hire Better | Ex-Career Coach | Ex-Snapdeal, HP, NITI Aayog, Gartner, CBSE At Crossing Hurdles, we work as a referral partner. We refer candidates to our partner that collaborates with world’s leading AI research labs to build and train cutting‑edge AI models. Position: Data Scientist Referral Partner: Crossing Hurdles Type: Hourly contract Compensation: $100-$120 per hour Location: Remote Duration: 3–4 weeks Commitment: 10-40 hours/week, flexible and asynchronous Role Responsibilities (Training support will be provided)

Conduct statistical failure analysis across finance‑sector AI tasks. Identify patterns in AI agent performance failures across task components (e.g., prompts, rubrics, templates). Perform root cause analysis to determine if failures stem from task design, rubric clarity, or agent limitations. Analyze performance variations across finance sub‑domains, file types, and task categories. Create dashboards and reports highlighting failure clusters, edge cases, and areas for improvement. Recommend improvements to task design, rubric structure, and evaluation criteria. Communicate insights to data labeling experts and technical teams.

Requirements

Strong foundation in statistical analysis, hypothesis testing, and pattern recognition. Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Experience with exploratory data analysis and deriving actionable insights from complex datasets. Familiarity with LLM evaluation methods and quality metrics. Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL.

Application Process (Takes 20 min)

Upload resume. AI interview based on your resume (15 min).

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