- Location
- Dallas, TX
- Type
- Contract
- Department
- IT
- Experience
- 5+ years
- Source
- RecruiterFlow
Description
The work
Experts evaluate and improve AI-generated responses across data analysis, statistical reasoning, machine learning, and applied modeling, build challenging and realistic data science problems used to train AI systems, and author expert-level, source-grounded work product. The work is hands-on: reading and writing analysis code is part of the job. It is long-form, self-directed, and fully remote.
Must-haves
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Five or more years of professional data science experience (analytics, machine learning, statistical modeling, data engineering, or similar applied work) in industry or research. Undergraduate study does not count toward the two-year minimum.
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Working proficiency in Python and/or SQL; comfort reading and writing analysis code is expected. Advanced degree in a quantitative field is a plus but optional; practical expertise outweighs credentials.
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Genuine availability for 30–40 hours/week across the full 12 weeks.
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Strong written communication; comfortable working independently and fully remote.
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General familiarity with AI/LLM tools (user-level is fine).
The strongest candidates look like
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Independent, consultant, and freelance data scientists. This is the strongest positive signal in our data, by a wide margin: self-employed and consulting profiles convert and retain dramatically better than any other data science profile, and the effect gets stronger among our very best performers.
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Small-company practitioners. Data scientists from small firms and startups substantially outperform their large-enterprise peers.
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Mid-career practitioners, roughly 5–10 years of experience. This band converts strongest; solid performers also appear across the 10–20 year range.
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Currently working candidates who control their own schedule. People with an active practice and real capacity reliably finish what they start.