ContractRemoteActive
Subject Matter Expert – Data & Statistical Chart Analysis (AI Benchmark)
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.
Salary
$25 - $50 / hour
Department
Data Science & Statistics
Experience
Subject Matter Expert
Curated by Farooq77 Jobs
Role fit snapshot
- Engagement
- Remote contractor | micro1 application platform
- Experience
- Recorded experience: Subject Matter Expert
- Core expertise
- Data Science & Statistics | Chart Interpretation Accuracy | Multi-step Quantitative Reasoning | Question Design
- Geographic eligibility
- Not specified beyond Remote
- Listing dates
- Posted 2026-08-12 | Valid through 2026-09-12
- Compensation
- Recorded compensation: $25-$50/hour
Responsibilities
- Interpret complex data science and statistical visualizations, such as Sankey diagrams, heatmaps, calibration curves, residual plots, correlation matrices, and distribution plots, applying advanced professional judgment 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.
Skills
Chart Interpretation AccuracyMulti-step Quantitative ReasoningQuestion DesignUnambiguous Task ConstructionDomain-specific Terminology PrecisionRemote CollaborationStatistical AnalysisData VisualizationStatistical ModelingQuantitative Reasoning
Requirements
- 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.
Benefits
- Remote contractor opportunity
- Contribute quantitative and statistical expertise to next-generation AI training
- Work with complex data science and statistical visualizations
- Apply advanced analytical reasoning to AI benchmark development
- Opportunity to influence the accuracy and reasoning capabilities of advanced AI models
Before you apply
- Confirm that your location is eligible for the role.
- Confirm the employment or contract type.
- Verify the current compensation at the official source.
- Review the required skills and experience.
- Check that the listing is still open before applying.
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