Subject Matter Expert – Data & Statistical Chart Analysis

Overview

micro1 is seeking Subject Matter Experts – Data & Statistical Chart Analysis for a customer project focused on advancing next-generation AI systems. This is a remote contractor opportunity with 50 openings. The work centers on helping train and evaluate AI systems using high-quality, real-world input from a quantitative domain expert.

What You'll Do

• Interpret complex data science and statistical visualizations, including Sankey diagrams, heatmaps, calibration curves, residual plots, correlation matrices, and distribution plots.
• Design clear, objective, multi-step analytical tasks and questions based on challenging visualizations.
• Provide precise, unambiguous answers with step-by-step written explanations, including calculations, statistical inference, or modeling logic where needed.
• Use exact data science and statistical terminology, with careful attention to units, scales, axes, legends, and annotations.
• Create tasks that require graphical reasoning, trend analysis, comparison, interpolation, and statistical inference while avoiding ambiguous or subjective prompts.
• Collaborate remotely through written and verbal channels, incorporating feedback and maintaining consistent communication with project stakeholders.
• Produce objectively verifiable tasks and solutions to support model training and evaluation.

Preferred Qualifications

• Bachelor's degree or equivalent professional experience in Data Science, Statistics, Applied Mathematics, Computer Science, Operations Research, or a related quantitative field.
• At least two years of professional, academic, or research experience with statistical models, data visualizations, or analytical reporting.
• Advanced ability to interpret axes, legends, units, scales, confidence intervals, and statistical annotations across chart types.
• Strong written and verbal English skills for explaining analytical processes and quantitative reasoning.
• Bilingual ability in English and ideally a second language relevant to the domain.
• Experience with technical documentation, publication, assessment design, or structured analytical task development.
• Background creating data-annotation tasks, benchmark questions, technical reports, or similar materials for data science, statistics, or AI-driven projects.