Chemical Engineer (Remote)
Offre en anglaisCreate challenging questions and step-by-step solutions based on complex data visualizations to train AI reasoning capabilities. Test AI models against these tasks to identify failures and refine the data foundation for visual reasoning.
- Télétravail
- Canada, United States
- Publié 26 août 2026
- 1 poste
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Résumé du poste
Role: Chemical Engineer (Remote) Location: US , Canada (Remote) Role Overview: We are hiring AI Reasoning Analysts to turn your chart analysis skills into work that trains frontier AI. If you can read a dense chart and reason your way to the answer, we want your help. You will build sharp questions about real data visualizations, work out the correct answers, and catch where today's best AI models get them wrong — improving how AI systems reason about complex visual data. Every task is built around a single chart or graph, following a five-step workflow that ends with a clean, verified reasoning solution. Key Responsibilities: Start with a chart or diagram from your own field, coursework, or a provided set — the harder the chart, the better Write challenging questions that require genuine multi-step reasoning to answer Work out the correct answer with a clear step-by-step solution that shows exactly how you got there Test each question against AI models and observe how they reason through the visualization Refine tasks until the model gets it wrong, then capture the failure alongside your golden answer and solution Contribute to the data foundation that trains AI systems on complex visual reasoning Required Skills & Qualifications: Background in a quantitative field: engineering, economics, finance, architecture, or STEM (biology, chemistry, physics, earth and materials science) as a student, recent grad, academic, or professional Strong quantitative and analytical reasoning with the ability to work through multi-step problems 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) Equal Opportunity Employer: We are an equal opportunity employer. We are committed to building an inclusive workplace and welcome applications from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are made solely on the basis of qualifications, skills, and demonstrated ability. Apply Now!
Ce que vous ferez
Create challenging questions and step-by-step solutions based on complex data visualizations to train AI reasoning capabilities. Test AI models against these tasks to identify failures and refine the data foundation for visual reasoning.
Exigences
Requires a background in a quantitative STEM field such as engineering, physics, or chemistry. Candidates must be fluent in reading complex charts and possess strong written English skills to explain reasoning clearly.
Compétences indiquées
- Souci du détailSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Quantitative Reasoning
- Analytical Reasoning
- Data Visualization Analysis
- Multi-step Problem Solving
- Technical Writing
- AI Prompting
- Chart Analysis
- Attention To Detail
Domaines d’emploi
- Data & Analytics
- Engineering
- Science & Research
- Technology
- Software
Renseignements supplémentaires
- Formation minimale
- Baccalauréat
- Expérience minimale
- 0+ ans
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Associate