Data Science Expert, AI Training Sprint (12 Weeks)

Key Responsibilities

Work through tasks on our partner's platform, applying the same judgment you would apply on the job; Write and review model responses, explanations, and reference material to a professional standard; Correct model output where it is wrong and set out clearly why it is wrong; Produce context files and worked examples the model can learn from; Act on reviewer feedback and hold your quality across the full 12 weeks; Log 30 to 40 hours a week and keep your throughput steady; Work from your own expertise, without LLM assistance on projects that do not permit it.

Ideal Qualifications

PhD or MBA in a quantitative field, completed or in progress; At least 3 years of non-academic professional experience in data science or applied analytics; Strong Python and SQL, with real statistical grounding behind the tooling; Experience designing and reading experiments; Able to write up an analysis clearly enough for a peer to challenge it; Based in the United States, United Kingdom, Ireland, Canada, or Australia.