Evaluate AI model outputs on data science, statistics, machine learning, experimentation, and quantitative problems. Develop expert prompts, datasets, and reference solutions; identify statistical and methodological errors; and provide structured feedback to improve model performance. The role requires Python, machine learning, statistics, data analysis, experimentation, Pandas, and data modeling skills.
Role Title: Data Scientist
Role Type: Contract
Location: Remote
Required Skills
Python
Machine Learning
Statistics
Data Analysis
Experimentation
Pandas
Data Modelling
You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and quantitative reasoning.
Scope of Work
Evaluate AI model outputs on data science, statistics, ML, and quantitative problems
Create expert-level prompts, datasets, and reference solutions
Identify flawed methodology, statistical errors, and weak quantitative reasoning
Provide structured feedback that improves model capability
Preferred Qualifications
At least one year of experience working at a top company (tech, finance, or research), with at least part of this experience within the past 7 years
Undergraduate degree from a top-ranked university
Based in an English-speaking country
Clear written communication of technical and statistical concepts
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Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
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