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обновлено 18 дней назад

AI Reasoning Analyst (Charts & Data)

Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US

Описание вакансии

Текст:
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TL;DR
AI Reasoning Analyst (Charts & Data) (AI/data visualization): Creating challenging questions and verified step-by-step answers from complex charts, graphs, maps, and diagrams to expose failures in frontier AI models with an accent on quantitative reasoning and precise visual interpretation. Focus on designing multi-step tasks, testing them against AI systems, documenting model failures, and refining golden solutions.

Location: Remote within the United States

Company

Workada connects skilled contributors with project-based AI training work.

What you will do

  • Create challenging questions based on charts, graphs, maps, diagrams, and other data visualizations.
  • Determine definitive answers and write clear, step-by-step solutions.
  • Test questions and visualizations against AI models to identify reasoning failures.
  • Refine tasks until the model produces an incorrect answer, then document the failure and the verified solution.
  • Work with complex visualizations such as multi-axis, stacked, grouped, multi-series, and domain-specific figures.

Requirements

  • Background in a quantitative field such as engineering, economics, finance, architecture, biology, chemistry, physics, earth science, or materials science.
  • Strong quantitative and analytical reasoning with the ability to reach a defensible answer through multiple steps.
  • Fluency reading complex charts, graphs, diagrams, maps, dense legends, multiple axes, and overlapping data.
  • Clear written English for explaining 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.
  • Must be based in the United States and able to work independently on a flexible schedule.

Nice to have

  • Access to complex charts or figures from coursework, research, or professional work.
  • Experience with financial markets, materials science, GIS, mapping, data analysis, technical writing, tutoring, peer review, or AI/data work.

Culture & Benefits

  • 100% remote work with fully flexible hours.
  • Paid three times per week through Stripe.
  • No cap on available hours; tasks can fit around classes, research, or other work.
  • Training, feedback, and access to a supportive contributor community.