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.

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

Work arrangement: Fully remote