Expert Opportunity - Lead Data Scientist ($100/hr, up to $2,000/week)
- Toronto, Ontario, Canada
- Remote
- Posted Sep 26, 2026
- 1 position
US$100 / hour
Opens an external site
- Employment type
- Contract
- Experience level
- Mid-level · 4+ years
- Apply by
- Oct 23, 2026
- Posting language
- English
- Working hours
- 20 hours per week
- Location requirements
- Country, Toronto, Ontario, Canada
- Seniority
- Associate
Job summary
Review and assess data science documents for a language model training project. Judge whether each document’s content and structure reflect materials used in day-to-day data science practice.
Job 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
What you’ll do
Review and assess data science documents for a language model training project. Judge whether each document’s content and structure reflect materials used in day-to-day data science practice.
Requirements
Requires at least four years of experience as a data scientist or machine learning engineer, along with hands-on familiarity with the documents data science teams write and review. Candidates should be fluent in Python and SQL, have experience with modeling and experimentation, and demonstrate strong written communication and attention to detail; prior AI experience is not required.
Listed skills
- SQL · Preferred
- written communication · Preferred
- Attention to detail · Preferred
- Machine learning · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Science
- Machine Learning
- Python
- SQL
- Modeling
- Experimentation
- Document Review
- Written Communication
- Attention To Detail
Job areas
- Data & Analytics
- Technology
- Science & Research
- Engineering
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