AI training contract
Subject Matter Expert – Data & Statistical Chart Analysis
Science & Research · USD 25-50 an hour. · 50 openings
Subject Matter Expert – Data & Statistical Chart Analysis is contract work for micro1, reviewing and correcting what AI models produce in science & research. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. No credential is stated on this listing beyond experience in the field.
What it pays. USD 25 to USD 50 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, and Yemen. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 50 openings on this role.
Skills named: Chart interpretation accuracy, Multi-step quantitative reasoning, Question design / unambiguous task construction, Domain-specific terminology precision, remote collaboration.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Role Title: Subject Matter Expert – Data & Statistical Chart Analysis Role Type: Contractor Location: Remote micro1 is engaging Subject Matter Experts – Data & Statistical Chart Analysis (AI Benchmark) to contribute expertise on a customer project advancing the capabilities of next-generation AI systems. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work Interpret complex data science and statistical visualizations—such as Sankey diagrams, heatmaps, calibration curves, residual plots, correlation matrices, and distribution plots—applying advanced professional judgement and terminology. Design clear, objective, multi-step analytical tasks and questions based on challenging visualizations, emphasizing quantitative reasoning beyond surface-level chart reading. Deliver precise, unambiguous answers with thorough, step-by-step written explanations, including explicit calculations, statistical inferences, or modeling logic as required. Utilize exact data science and statistical language, ensuring accuracy in referencing units, scales, axes, legends, and annotations in all outputs. Create tasks that require graphical reasoning, trend analysis, comparison, interpolation, and statistical inference, always avoiding ambiguous or subjective prompts. Participate in remote collaboration, contributing via written and verbal channels, incorporating feedback, and maintaining consistent communication with project stakeholders. Consistently produce objectively verifiable tasks and solutions to support the rigorous training and evaluation of advanced AI models. Preferred Qualifications Bachelor's degree or equivalent professional experience in Data Science, Statistics, Applied Mathematics, Computer Science, Operations Research, or a related quantitative field. Minimum of two years’ professional, academic, or research background engaging with statistical models, data visualizations, or analytical reporting. Advanced proficiency in interpreting axes, legends, units, scales, confidence intervals, and statistical annotations across diverse chart types. Demonstrated ability to clearly articulate analytical processes and quantitative reasoning in high-quality written and verbal English. Bilingual proficiency in English and, ideally, a second language relevant to your domain. Experience with technical documentation, publication, assessment design, or structured analytical task development. Background in producing data-annotation tasks, benchmark questions, technical reports, or related materials for data science, statistics, or AI-driven projects.
All AI training roles we track · Every micro1 opportunity with filters
Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.