
Chart & Data Visualization Subject Matter Expert
Listing checked September 17, 2026 · pay as published by Micro1
Overview
micro1 is building a team of Subject Matter Experts to support a client project that trains next-generation AI systems. You will work with domain-specific charts and data visualizations, turning your analytical expertise into high-quality training input. The role is fully remote and open to professionals from fields like medicine, finance, engineering, earth sciences, data science, and operations. No AI background is needed. What matters is your ability to interpret complex visuals and explain quantitative reasoning with precision.
What You'll Do7
- 1Read and break down charts, graphs, and visualizations from your domain, using the correct terminology for axes, scales, legends, and units.
- 2Write clear questions that demand multi-step quantitative reasoning from information-rich charts.
- 3Create tasks that have objective answers and focus on calculations, comparisons, and trend analysis.
- 4Supply exact answers with step-by-step explanations of how you reached them.
- 5Apply proper chart terms, confidence intervals, and time periods in every task and solution.
- 6Work with project coordinators and reviewers remotely, communicating in writing and on calls.
- 7Keep tasks free of ambiguity, unsupported claims, and needless complexity.
Requirements7
- 1Bachelor's degree or comparable professional experience in a relevant field such as medicine, finance, engineering, earth science, data science, or operations.
- 2At least two years of professional, academic, or research work involving domain-relevant charts or quantitative data.
- 3An advanced degree, professional credential, or deep industry specialization is a strong plus.
- 4Track record of selecting and interpreting complex charts that include multiple data series, annotations, or statistical features.
- 5Experience writing technical assessments, benchmark questions, or structured analytical tasks for learning, analytics, or evaluation.
- 6Ability to write unambiguous, objectively answerable questions and explain calculations in clear English.
- 7Prior remote collaboration and asynchronous communication with cross-functional technical or research teams.
Who Should Apply
This role fits professionals who already work with charts and quantitative data in fields like medicine, biostatistics, finance, economics, engineering, physics, earth sciences, GIS, data science, statistics, or operations. You should be comfortable reading multi-series charts and explaining your reasoning in plain English. The role is less suitable for someone who only creates visualizations without analyzing them, or who struggles to write precise, objective questions. Candidates often get rejected when they submit tasks with ambiguous wording or skip the step-by-step calculation details. Another common reason for low fit scores is using imprecise domain terminology or ignoring chart elements like confidence intervals and time periods.
Salary Insight
The rate for this contract role is $25 to $50 per hour. The final offer will depend on your domain expertise and experience level.
Pay and demand for Data Engineering roles
AggregatedTypical pay
$75/hour
This role
$25–$50/hr
Most Data Engineering roles pay $50–$100 per hour. This role's pay sits below that range.
Based on 614 similar roles that publish pay · 109 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
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- Listed in last 30 days
- 327
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- 96%
Hiring most right now: micro1 (312) · Mercor (90) · SME Careers (74)
Most requested skills · share of roles
- python16%
- technical writing9%
- llm evaluation7%
- ai evaluation6%
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Compensation
$25–50/hr
Required Skills
Application Tip
When you apply, include a short sample task: pick a chart from your field, write one multi-step question about it, and provide the answer with a step-by-step explanation. This shows your chart interpretation accuracy, question design skill, and quantitative reasoning in one go, which directly matches what the reviewers look for.
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