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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
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
