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Remote Data Scientist - AI Trainer ($100-$120 per hour)
Remote Data Scientist - AI Trainer ($100-$120 per hour)Mercor • Shoreline, Washington, US
Remote Data Scientist - AI Trainer ($100-$120 per hour)

Remote Data Scientist - AI Trainer ($100-$120 per hour)

Mercor • Shoreline, Washington, US
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
  • [filters.remote]
[job_card.job_description]

# Job Description : AI Task Evaluation & Statistical Analysis Specialist

## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities -

  • Statistical Failure Analysis
  • : Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) -
  • Root Cause Analysis
  • : Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations -
  • Dimension Analysis
  • : Analyze performance variations across finance sub-domains, file types, and task categories -
  • Reporting & Visualization
  • : Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities -
  • Quality Framework
  • : Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings -
  • Stakeholder Communication
  • : Present insights to data labeling experts and technical teams ## Required Qualifications -
  • Statistical Expertise
  • : Strong foundation in statistical analysis, hypothesis testing, and pattern recognition -
  • Programming
  • : Proficiency in Python (pandas, scipy, matplotlib / seaborn) or R for data analysis -
  • Data Analysis
  • : Experience with exploratory data analysis and creating actionable insights from complex datasets -
  • AI / ML Familiarity
  • : Understanding of LLM evaluation methods and quality metrics -
  • Tools
  • : Comfortable working with Excel, data visualization tools (Tableau / Looker), and SQL ## Preferred Qualifications - Experience with AI / ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience
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Data Scientist Remote • Shoreline, Washington, US

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