Data Scientist for AI Model Evaluation and Quality Assurance
Overview
A remote contractor role with micro1 in partnership with a leading AI lab. You’ll apply rigorous statistics, machine learning, and quantitative reasoning to evaluate AI model outputs and improve performance. Expect to develop expert prompts, datasets, and reference solutions, while spotting methodological flaws and statistical errors. The work centers on enhancing model capabilities through structured, actionable feedback. Python, Machine Learning, and Data Analysis are core to the daily tasks and evaluation.”
What You'll Do4
- 1Assess AI model outputs across data science, statistics, ML, and quantitative challenges.
- 2Develop and refine prompts, assemble datasets, and craft reference solutions for complex problems.
- 3Pinpoint flawed methods, identify statistical errors, and surface gaps in quantitative reasoning.
- 4Deliver structured feedback that meaningfully enhances model performance and reliability.
Requirements4
- 1Minimum one year of experience at a top tech, finance, or research firm, with some work within the last seven years.
- 2Undergraduate degree from a highly ranked university.
- 3Based in an English-speaking country.
- 4Ability to clearly convey technical and statistical ideas in writing.
Who Should Apply
The ideal candidate has hands-on experience at a leading company in tech, finance, or research and can demonstrate clear written explanations of technical topics. This role may not be the best fit for someone without recent work at a top firm or without strong English-language communication skills. Common fit flags include gaps in relevant, recent experience and difficulty articulating statistical concepts in writing.
Salary Insight
Pay range is $245 - $280 per hour; compensation is discussed during the hiring process.
Location
Required Skills
Application Tip
Highlight a concrete result from past work that shows your ability to identify a statistical flaw and propose a concrete improvement, and mention any experience crafting prompts or reference datasets.
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How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
Only candidates who clear screening move forward.
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