Data Scientist

Handshake AI Fellowship; United States; Remote; USD 41,000 - 83,000; Part time

Job summary

Handshake AI Fellowship is seeking experienced data scientists for flexible, part-time contract work focused on AI research. You will apply hands-on modeling and statistical analysis to evaluate AI-generated content and provide feedback that improves AI reasoning like a practicing data scientist.

This is an ongoing, project-based opportunity you can take on alongside your current role, with no fixed schedule and the ability to work remotely from the United States.

Qualifications

• 1 year of professional data science experience at a top company with hands-on work.
• Bachelor's degree in data science, statistics, mathematics, computer science, or related field.
• Demonstrated expertise in ML, statistical modeling, or data analysis at scale.

Responsibilities

• Design expert-level data science problems grounded in real modeling and experimentation.
• Review AI-generated responses for technical accuracy and practical feasibility.
• Provide structured written feedback to help improve AI model performance.
• Work on tasks at your own pace with no set schedule or minimum hours.

Skills

Data science problem design

Model evaluation

Statistical analysis

Remote collaboration

Education

Bachelors in Data Science or related

Tools

Python

Jupyter

ML frameworks

Job description

Opportunity Overview

Handshake is looking for experienced data scientists to support AI research through flexible, part-time contract work. This is not a traditional job — you'll draw on your hands-on experience building and reasoning about models and statistical analysis to evaluate AI-generated content and provide feedback that helps AI reason like a practicing data scientist.

Opportunity Overview

Handshake is looking for experienced data scientists to support AI research through flexible, part-time contract work. This is not a traditional job — you'll draw on your hands-on experience building and reasoning about models and statistical analysis to evaluate AI-generated content and provide feedback that helps AI reason like a practicing data scientist.

This is an ongoing, project-based opportunity you can take on alongside your current role.

What You'll Do

• Use your domain expertise to create expert-level data science problems and scenarios grounded in real modeling, analysis, and experimentation work
• Review and evaluate AI-generated responses for technical accuracy, practical feasibility, and alignment with how the work is actually done
• Provide structured written feedback to help improve AI model performance
• Complete tasks at your own pace with no set schedule or minimum hour requirement

Qualifications

Ideal candidates meet all three of the following:

• Industry/research experience — minimum 1 year of professional experience at a top company, with direct hands-on work as a data scientist
• Degree — Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
• Sub-domain depth — demonstrated expertise in one of the following areas:
  • Machine learning and applied ML
  • Statistical modeling and experimentation (A/B testing, causal inference)
  • Data analysis and feature engineering at scale

Additional Qualifications (not Required, But Strengthen Your Application)

• Experience at a recognized, top-tier tech company

Required For All Applicants

• Based in the United States
• Strong written communication and attention to detail
• Ability to explain complex data science concepts clearly
• Ability to work independently in a remote, asynchronous environment

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