Description review
Subject Matter Expert – Chart & Data Visualization Analysis
micro1 · Remote · back to the listing
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68/100
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58/100
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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 – Chart & Data Visualization Analysis
Role Type: Contractor
Location: Remote
micro1 is selecting Subject Matter Experts – Chart & Data Visualization Analysis (AI Training) to contribute to a high-impact client project. 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. This opportunity is ideal for data-driven professionals with a meticulous eye for interpreting domain-specific charts, excellent quantitative reasoning, and a passion for communicating complex concepts clearly in both written and verbal form. Contributors from Medicine & Biostatistics, Finance & Economics, Engineering & Physics, Earth Sciences & GIS, Data Science & Statistics, or Operations & Manufacturing are especially encouraged to express interest.
Scope of Work
• Interpret and analyze domain-specific charts, graphs, and data visualizations with a high level of accuracy and domain terminology precision.
• Design clear, unambiguous questions that require multi-step quantitative reasoning based on information-rich charts.
• Develop objectively answerable tasks focused on in-depth reasoning, calculations, comparisons, and trend analysis.
• Provide precise answers along with detailed, step-by-step explanations of your reasoning and calculation process.
• Utilize correct chart terms, units, axes, scales, legends, confidence intervals, and time periods in all tasks and solutions.
• Collaborate remotely with project coordinators and reviewers, demonstrating strong written and verbal communication skills.
• Ensure tasks are clear, free from subjectivity, and avoid unsupported conclusions or unnecessary complexity.
Preferred Qualifications
• Bachelor's degree or equivalent professional experience in a relevant domain (Medicine, Finance, Engineering, Earth Science, Data Science, Operations, etc.).
• At least two years of professional, academic, or research experience working with domain-relevant charts or quantitative data.
• Advanced degree, professional credential, or significant industry specialization (highly desirable).
• Demonstrated ability to select and interpret complex charts, including those with multiple data series, annotations, or statistical features.
• Experience authoring technical assessments, benchmark questions, or structured analytical tasks for learning, analytics, or evaluation purposes.
• Proven ability to write unambiguous, objectively answerable questions and communicate calculations clearly in English.
• Remote collaboration and asynchronous communication experience with cross-functional technical or research teams.
Originally posted on Himalayas
Role Type: Contractor
Location: Remote
micro1 is selecting Subject Matter Experts – Chart & Data Visualization Analysis (AI Training) to contribute to a high-impact client project. 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. This opportunity is ideal for data-driven professionals with a meticulous eye for interpreting domain-specific charts, excellent quantitative reasoning, and a passion for communicating complex concepts clearly in both written and verbal form. Contributors from Medicine & Biostatistics, Finance & Economics, Engineering & Physics, Earth Sciences & GIS, Data Science & Statistics, or Operations & Manufacturing are especially encouraged to express interest.
Scope of Work
• Interpret and analyze domain-specific charts, graphs, and data visualizations with a high level of accuracy and domain terminology precision.
• Design clear, unambiguous questions that require multi-step quantitative reasoning based on information-rich charts.
• Develop objectively answerable tasks focused on in-depth reasoning, calculations, comparisons, and trend analysis.
• Provide precise answers along with detailed, step-by-step explanations of your reasoning and calculation process.
• Utilize correct chart terms, units, axes, scales, legends, confidence intervals, and time periods in all tasks and solutions.
• Collaborate remotely with project coordinators and reviewers, demonstrating strong written and verbal communication skills.
• Ensure tasks are clear, free from subjectivity, and avoid unsupported conclusions or unnecessary complexity.
Preferred Qualifications
• Bachelor's degree or equivalent professional experience in a relevant domain (Medicine, Finance, Engineering, Earth Science, Data Science, Operations, etc.).
• At least two years of professional, academic, or research experience working with domain-relevant charts or quantitative data.
• Advanced degree, professional credential, or significant industry specialization (highly desirable).
• Demonstrated ability to select and interpret complex charts, including those with multiple data series, annotations, or statistical features.
• Experience authoring technical assessments, benchmark questions, or structured analytical tasks for learning, analytics, or evaluation purposes.
• Proven ability to write unambiguous, objectively answerable questions and communicate calculations clearly in English.
• Remote collaboration and asynchronous communication experience with cross-functional technical or research teams.
Originally posted on Himalayas