Subject Matter Expert – Chart & Data Visualization Analysis (AI Training)

Requirements

• Apply correct chart terminology, units, axes, scales, legends, confidence intervals, and time periodsMust
• Strong written and verbal communication skillsMust
• Quantitative reasoning and mathematical calculation skillsMust
• Ability to communicate complex concepts clearly in written and verbal formMust
• Meticulous attention to detail and domain terminology precisionMust
• Bachelor's degree or equivalent professional experience in relevant domain
• At least two years of professional, academic, or research experience with domain-relevant charts or quantitative data
• Advanced degree, professional credential, or significant industry specialization
• Demonstrated ability to select and interpret complex charts with multiple data series, annotations, or statistical features
• Experience authoring technical assessments, benchmark questions, or structured analytical tasks
• Proven ability to write unambiguous, objectively answerable questions
• Remote collaboration and asynchronous communication experience

What you'll do

• Interpret and analyze domain-specific charts, graphs, and data visualizations with high accuracy
• Design clear, unambiguous questions requiring multi-step quantitative reasoning from charts
• Develop objectively answerable tasks focused on in-depth reasoning, calculations, and trend analysis
• Provide precise answers with detailed, step-by-step explanations of reasoning and calculations
• Collaborate remotely with project coordinators and reviewers
• Ensure tasks are clear, objective, and free from unsupported conclusions

Keywords

About the role

Role Title: Subject Matter Expert – Chart & Data Visualization Analysis (AI Training) 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