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

Visa Hunt; United States; Remote; USD 83,000 - 179,000; Part time

Job summary

Visa Hunt is seeking a Subject Matter Expert in Chart & Data Visualization Analysis to remotely contribute to AI training projects. You will analyze domain-specific charts, design multi-step reasoning tasks, and provide clear, step-by-step explanations of your calculations and conclusions.

The role emphasizes accurate chart interpretation, precise terminology, and strong written and verbal communication in English, with collaboration across cross-functional teams.

Qualifications

• Interpret charts and data visualizations with domain terminology.
• Design multi-step quantitative questions based on charts.
• Provide step-by-step explanations of reasoning and calculations.
• Communicate clearly in English, written and verbal.
• Remote collaboration with cross-functional teams.

Responsibilities

• Interpret domain-specific charts with precision.
• Design clear questions requiring multi-step reasoning.
• Develop objectively answerable tasks focusing on analysis, calculations, and trend analysis.
• Provide precise answers with explanations of calculations.
• Use correct chart terms, units, axes, scales, legends, confidence intervals, and time periods.
• Collaborate remotely with project coordinators and reviewers.
• Ensure tasks are clear, free from subjectivity, and free from unnecessary complexity.

Skills

Quantitative reasoning

Data interpretation

Written and verbal communication

Remote collaboration

Education

Bachelor's degree or equivalent professional experience

Advanced degree or professional credential (highly desirable)

Job description

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

1. Interpret and analyze domain-specific charts, graphs, and data visualizations with a high level of accuracy and domain terminology precision.
2. Design clear, unambiguous questions that require multi-step quantitative reasoning based on information-rich charts.
3. Develop objectively answerable tasks focused on in-depth reasoning, calculations, comparisons, and trend analysis.
4. Provide precise answers along with detailed, step-by-step explanations of your reasoning and calculation process.
5. Utilize correct chart terms, units, axes, scales, legends, confidence intervals, and time periods in all tasks and solutions.
6. Collaborate remotely with project coordinators and reviewers, demonstrating strong written and verbal communication skills.
7. Ensure tasks are clear, free from subjectivity, and avoid unsupported conclusions or unnecessary complexity.

Preferred Qualifications

1. Bachelor's degree or equivalent professional experience in a relevant domain (Medicine, Finance, Engineering, Earth Science, Data Science, Operations, etc.).
2. At least two years of professional, academic, or research experience working with domain-relevant charts or quantitative data.
3. Advanced degree, professional credential, or significant industry specialization (highly desirable).
4. Demonstrated ability to select and interpret complex charts, including those with multiple data series, annotations, or statistical features.
5. Experience authoring technical assessments, benchmark questions, or structured analytical tasks for learning, analytics, or evaluation purposes.
6. Proven ability to write unambiguous, objectively answerable questions and communicate calculations clearly in English.
7. Remote collaboration and asynchronous communication experience with cross-functional technical or research teams.

Originally posted on Himalayas