Electrical Engineer (Remote)
Offre en anglaisThe role involves designing and annotating complex reasoning prompts based on visual data to train multimodal AI models. Responsibilities include auditing AI-generated solutions for logical fallacies and writing ground-truth explanations for intricate datasets.
- Télétravail
- Canada, United States
- Publié 28 août 2026
- 1 poste
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Résumé du poste
Role: Electrical Engineer (Remote) Location: US , Canada (Remote) Location: Remote (United States & Canada Only) Employment Type: Contract / Full-Time Important Eligibility Notice: Location: This role is strictly open to candidates currently residing in and authorized to work in the United States or Canada. International applications outside these two countries will not be considered. Required Background: This position requires advanced analytical and quantitative skills with proven experience interpreting complex charts, scientific/statistical plots, and tabular datasets. Overview: We are seeking an AI Reasoning Analyst specializing in charts, visual data, and quantitative information to evaluate and train frontier multimodal AI models. In this role, you will design, solve, and annotate complex reasoning prompts based on visual data representations—such as heatmaps, multi-axis charts, scientific graphs, and raw datasets—ensuring AI models reason logically and compute accurately. Key Responsibilities: Evaluate and create complex reasoning datasets pairing visual data (charts, graphs, plots, diagrams) with multi-step analytical solutions. Audit and rigorously fact-check AI-generated visual reasoning steps, mathematical derivations, and trend analyses. Identify hallucinations, misinterpretations of graphical axes/scales, and logical fallacies in model outputs. Write clear, step-by-step reasoning explanations (ground truth) for intricate visual-data questions. Requirements: Degree in a quantitative, STEM, economics, data, or analytical field (e.g., Data Science, Statistics, Mathematics, Engineering, Economics). Strong ability to read, interpret, and derive insights from complex visual formats (scatter plots, box plots, Sankey diagrams, contour plots, multi-variable tables). Prior experience in data analysis, scientific research, quantitative modeling, or AI model evaluation. Strong written English skills with a knack for breaking down complex quantitative logic into structured explanations. Must be currently based in and authorized to work in the United States or Canada. 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
The role involves designing and annotating complex reasoning prompts based on visual data to train multimodal AI models. Responsibilities include auditing AI-generated solutions for logical fallacies and writing ground-truth explanations for intricate datasets.
Exigences
Candidates must hold a degree in a quantitative STEM, economics, or data field and possess strong skills in interpreting complex charts and graphs. Must be authorized to work in and currently reside in the United States or Canada.
Compétences indiquées
- Analyse de donnéesSouhaitée
- prompt engineeringSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Data Analysis
- Quantitative Reasoning
- Visual Data Interpretation
- AI Model Evaluation
- Mathematical Derivation
- Fact-checking
- Technical Writing
- Statistical Analysis
- Prompt Engineering
- Analytical Modeling
Domaines d’emploi
- Data & Analytics
- Technology
- Engineering
- Science & Research
- Software
Renseignements supplémentaires
- Formation minimale
- Baccalauréat
- Expérience minimale
- 2+ ans
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Associate