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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Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
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