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Machine Learning Engineer

Ethos Contract, part-time Posted 2 days ago New US, UK, EU, CA, AU, NZ

Role details

About This Opportunity
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.

Compensation: $100/hour

Commitment: Flexible, up to 20 hours/week
Location: Fully remote

Start date: ASAP

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

From the Ethos posting.

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  5. Remote — open to United States, Canada, United Kingdom, Ireland, Australia, New Zealand, Germany, France, Netherlands, Belgium, Austria, Switzerland, Denmark, Sweden, Norway, Finland, Iceland, Italy, Spain, Portugal, Greece, Luxembourg, Malta, Cyprus, Liechtenstein and Monaco.
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Pays $100 an hour, below the $120 median top rate of the 20 other open hourly machine learning engineers roles listed here. Posted 2 days ago.

We read this listing on Ethos on 8 Nov 2026 and checked it again on 9 Nov 2026. We clean its formatting for readability and safety. View on Ethos