Ethos

Machine learning engineer language models

In short

This role involves reviewing and assessing data science documents to help train a large language model, judging whether their content and structure reflect genuine day-to-day data science practice. It's a flexible, fully remote, hourly-paid engagement posted by a recruiter working with a foundational AI lab. Candidates need 4+ years of experience as a data scientist or ML engineer, strong Python and SQL skills, modeling/experimentation experience, and excellent written communication.

Description
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.
Tasks
•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.
Requirements
•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
•4+ years in data science
•Python and SQL fluency
•Experience with modeling and experimentation
Conditions
•Compensation: $100/hour
•Commitment: Flexible, up to 20 hours/week
•Location: Fully remote
•Start date: ASAP

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