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Ethos is seeking experienced data scientists or ML engineers to review data science documentation tasks. This role emphasizes evaluating content relevance and structure to reflect real-world practice. A strong background in Python and SQL, and rigorous attention to detail are essential.
The engagement is flexible up to 20 hours per week, fully remote, with compensation at $100 per hour. Start date is ASAP, offering a project-based opportunity within Ethos’ expert network.
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.
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.
Compensation: $100/hour
Commitment: Flexible, up to 20 hours/week
Location: Fully remote
Start date: ASAP
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.