2 дня назад
AI Reasoning Analyst (Charts & Data)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Reasoning Analyst (Charts & Data) (AI/data visualization): Creating challenging questions and verified solutions from complex charts, graphs, maps, and diagrams to evaluate where AI models fail. Focus on multi-step quantitative reasoning, precise chart interpretation, testing prompts against AI, and documenting clear step-by-step answers.
Location: United States; remote work from anywhere in the US
Company
connects skilled contributors with projects that train frontier AI systems.
What you will do
- Create challenging questions based on charts, graphs, maps, diagrams, and other data visualizations.
- Analyze visualizations with multiple axes, dense legends, overlapping series, and technical data.
- Determine a definitive answer and write a clear, step-by-step solution.
- Test questions and charts against AI models, identify failures, and refine tasks until the model makes an error.
- Capture the model failure together with the verified answer and reasoning.
Requirements
- Must be based in the United States.
- Background in a quantitative field such as engineering, economics, finance, architecture, biology, chemistry, physics, earth science, or materials science.
- Strong quantitative and analytical reasoning skills.
- Ability to read complex charts, graphs, diagrams, and maps.
- Clear written English and the ability to explain reasoning step by step.
- Precision, attention to detail, and comfort using AI chat tools and iterating on prompts; no coding or machine-learning background is required.
Nice to have
- Access to complex charts or figures from coursework, research, or professional work.
- Experience with data analysis, technical writing, tutoring, peer review, or AI/data work.
- Deep familiarity with visualization-rich domains such as financial markets, materials science, or GIS.
Culture & Benefits
- 100% remote with fully flexible hours.
- Paid three times per week through Stripe.
- No cap on hours; tasks can be scheduled around classes, research, or other work.
- Training, feedback, and a supportive contributor community.
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