Note: The job is a remote job and is open to candidates in USA. Workada connects skilled contributors with meaningful AI work, focusing on improving AI systems through chart and data visualization analysis. The AI Reasoning Analyst role involves creating challenging questions about complex charts and graphs to identify where AI models fail, thereby helping to train and improve AI reasoning capabilities.
Responsibilities
- Start with a chart or diagram. Use one from your own field or coursework, or pick from a set we provide. The harder the chart, the better, dense legends, multiple axes, overlapping series, technical domains
- Ask a real question. Write a question that takes genuine reasoning to answer; tracing lines, counting points, comparing regions, reading across scales
- Build the right answer. Work out the correct answer and a clear step-by-step solution that shows exactly how you got there
- Test it against AI. Run your question and chart through the model and see how it reasons
- Find where it fails. Refine until the model gets it wrong, then capture the failure alongside your golden answer and solution
Skills
- A background in a quantitative field: engineering, economics or finance, architecture, or STEM (biology, chemistry, physics, earth and materials science, and more) as a student, recent grad, academic, or professional
- Strong quantitative and analytical reasoning: you can work through a multi-step problem to a definitive, defensible answer
- Fluency reading complex visualizations: charts, graphs, diagrams, and maps with multiple axes, dense legends, or overlapping data
- Clear written English to explain your reasoning step by step, the way a reviewer can follow
- Precision and attention to detail; small misreads are exactly what we want to surface in the AI
- Comfort using AI chat tools and iterating on prompts (no coding or ML background needed)
- Based in the US, with the self-direction to work on a flexible schedule
- Access to complex charts or figures from your own coursework, research, or work
- Deep familiarity with a domain full of rich visualizations (financial markets, materials science, GIS/mapping, and the like)
- Experience with data analysis, technical writing, tutoring, peer review, or AI/data work
Benefits
- Pay 3 times a week through Stripe.
- 100% remote, fully flexible. Pick up tasks around classes, research, or work. No cap on hours.
- Clear training, feedback that sharpens your skills, and a community of highly supportive contributors.
Company Overview