Subject Matter Expert – Data & Statistical Chart Analysis (AI Benchmark)

In this role youll 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

1. Interpret complex data science and statistical visualizationssuch as Sankey diagrams heatmaps calibration curves residual plots correlation matrices and distribution plotsapplying advanced professional judgement and terminology.
2. Design clear objective multi-step analytical tasks and questions based on challenging visualizations emphasizing quantitative reasoning beyond surface-level chart reading.
3. Deliver precise unambiguous answers with thorough step-by-step written explanations including explicit calculations statistical inferences or modeling logic as required.
4. Utilize exact data science and statistical language ensuring accuracy in referencing units scales axes legends and annotations in all outputs.
5. Create tasks that require graphical reasoning trend analysis comparison interpolation and statistical inference always avoiding ambiguous or subjective prompts.
6. Participate in remote collaboration contributing via written and verbal channels incorporating feedback and maintaining consistent communication with project stakeholders.
7. Consistently produce objectively verifiable tasks and solutions to support the rigorous training and evaluation of advanced AI models.

Preferred Qualifications

1. Bachelors degree or equivalent professional experience in Data Science Statistics Applied Mathematics Computer Science Operations Research or a related quantitative field.
2. Minimum of two years professional academic or research background engaging with statistical models data visualizations or analytical reporting.
3. Advanced proficiency in interpreting axes legends units scales confidence intervals and statistical annotations across diverse chart types.
4. Demonstrated ability to clearly articulate analytical processes and quantitative reasoning in high-quality written and verbal English.
5. Bilingual proficiency in English and ideally a second language relevant to your domain.
6. Experience with technical documentation publication assessment design or structured analytical task development.
7. Background in producing data-annotation tasks benchmark questions technical reports or related materials for data science statistics or AI-driven projects.