Currently tracking 76 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Data · Engineering. Salary range $148k–$600k (avg $306k).
| Title | Stage | AI score |
|---|---|---|
| AI Tutor - Crypto Role focused on providing high-quality annotations, evaluations, and expert reasoning to train and refine frontier AI models, specifically in the domain of cryptocurrency quantitative trading and digital asset markets. Involves generating diverse data formats (text, voice, video) and critiquing model outputs. | DataPost-train | 8 |
| Model Behavior Tutor - Epistemic Rigor & Truthfulness This role focuses on improving the epistemic rigor and truthfulness of AI models, specifically ensuring they reason carefully, avoid motivated reasoning, and communicate uncertainty appropriately. Responsibilities include assessing model outputs for accuracy and logical coherence, identifying fallacies, writing exemplary reasoning, and constructing adversarial examples. The role requires a strong analytical background, a track record in forecasting or rigorous analysis, and deep knowledge in fields like philosophy of science, cognitive psychology, or statistics. |
| 8 |
| Finance Expert - Quantitative Trading This role focuses on providing expert input, annotations, and evaluations for AI systems, specifically within quantitative trading domains. The individual will help train and refine AI models by teaching them quantitative trading reasoning, modeling markets, evaluating signals, and managing risk. This involves generating high-quality data (text, voice, video), writing annotations, critiquing model outputs, and recording audio explanations, all essential for advancing AI in scientific discovery and real-world reasoning. | DataPost-train | 7 |
| Accounting Expert - Tax This role involves applying deep tax expertise to train AI models to accurately understand and reason through complex tax issues. The expert will evaluate tax scenarios, guide AI interpretation of tax law, and critique AI-generated tax conclusions, directly influencing the quality and accuracy of AI systems in the tax domain. The role requires collaboration with technical teams to improve data quality and annotation tools, and to provide rigorous solutions and model critiques. | DataPost-train | 7 |