خبير موضوعي في تحليل الرسوم البيانية وتصور البيانات

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.