Data Science Expert

Huzzle Labs is looking for experienced data scientists to review enterprise slide content and rate it for substance and style. You will read business presentations such as analytics readouts, experiment results and ML project updates, and judge how rigorous, insightful and clearly communicated they are. Your judgement builds the reference data used to evaluate frontier AI systems. The engagement starts with a short screening task in which you rate enterprise slides for content and style. Depending on how you do, you may be invited to ongoing campaign tasks. What you will do • Rate slides: score enterprise slides and decks for content (analytical rigour, insight, logic, fit for the audience) and style (structure, clarity, data visualisation, polish). • Judge analytical substance: assess whether methods, metrics and conclusions are sound and whether the results are communicated honestly. • Explain your ratings: write short, precise rationales a peer reviewer could follow. • Apply the guidelines consistently: follow the rating rubric, flag ambiguous cases and help refine the criteria. • Deliver on time: work in batches and meet turnaround targets. What we are looking for • Experience as a data scientist at a top technology company. • An undergraduate degree from a well-known university • At least 1 year of professional work experience, part of it within the past 7 years. • Fluent written English and a strong sense of what good business communication looks like. • Careful and detail-oriented: consistent ratings and clear written rationales. • Nice to have: experience building or reviewing executive-ready presentations; prior annotation, rating or QA experience.