Description review
Subject Matter Expert – Data & Statistical Chart Analysis
micro1 · Remote · back to the listing
HR standards
65/100
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Title ↔ description
58/100
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no confident match
What this role officially is
data analyst — ESCO, the EU occupation classification
Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.
Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst
How others title the same work
Large employers
- Operations Insights, Tax Stripe
Startups
- Senior Data Analyst Camber
- Senior Data Analyst Confido
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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.
Originally posted on Himalayas
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.
Originally posted on Himalayas