Reviews AI-generated data science documents to judge whether their content and structure match real practice. Suits senior practitioners with Python and SQL fluency who can work flexible remote hours.
About the role
About the role
We're working with a leading foundational AI lab to find experienced data scientists and ML engineers who can help train their latest language model on data science documentation tasks. We're looking for practitioners with 4+ years of experience to review and assess documents - judging whether the content and structure of each reflect the material they would genuinely encounter in day-to-day data science practice.
Qualifications
4+ years of experience as a data scientist or ML engineer
Current, hands-on familiarity with the documents your team writes and reviews
Excellent written communication and attention to detail
About Ethos
Ethos is an expert network backed by Andreessen Horowitz and General Catalyst, built to match professionals to economic opportunities in the age of AI. You create one Ethos profile, and we match you to paid opportunities across expert calls, market research, AI training projects, and full-time roles - so even if this particular opportunity isn't the right fit, your profile keeps working for you and unlocks additional engagements over time. Learn more at askethos.com.
Key Requirements
4+ years in data science
Python and SQL fluency
Experience with modeling and experimentation
No AI experience needed
Official source: agent.askethos.com. Details can change; the platform's page is the final word. Something wrong with this listing? Tell us.
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