Data Science & Analysis - AI Training - Boston, US

prolificacademicltd; United States; Remote; USD 66,000 - 110,000; Full time

Job summary

Prolific Academic Ltd is seeking individuals with strong data science and analytics expertise for paid tasks that train and evaluate AI systems. You’ll verify reasoning, perform statistical checks, and run data scripts (Python or R).

A short skills assessment is required, and tasks can require an uninterrupted hour, though many are shorter. This is a remote role in the United States with up to $80 per hour.

Qualifications

• Bachelor’s, master’s or doctoral degree in data science, statistics, mathematics, or a related quantitative discipline.
• Practical experience in data analysis, predictive modeling, or machine learning engineering.
• Ability to solve challenging statistical problems and interpret complex visualizations.
• Careful analytical judgment, spotting subtle flaws in statistical reasoning and data interpretation.
• Substantial experience using large language models in data workflows and awareness of their failure modes.
• Clear communication of mathematical ideas and analytical findings; a payment account is required to receive task compensation.

Responsibilities

• Assess AI-generated data insights and statistical analyses for correctness, clarity, and completeness.
• Verify mathematical reasoning, statistical formulas, and data-based conclusions against references.
• Run data scripts (Python or R) to check results and edge cases.
• Identify where models reason well or fail when solving analytical problems or developing predictive approaches.
• Check that responses follow task guidelines and meet professional standards.

Skills

Data analysis

Statistical reasoning

Python

R

Communication

Education

Bachelor's/Master's/PhD in data science, statistics, mathematics or related

Tools

Python

R

SQL

Tableau/Power BI

Job description

Role overview

Apply data science or analytics expertise to paid tasks that train and evaluate AI systems. Work centers on checking technical reasoning, statistical analysis, and data-related code, with participation offered after a short skills assessment. Tasks may require an uninterrupted hour, although many are shorter.

Responsibilities

• Assess AI-generated data insights and statistical analyses for correctness, clarity, and completeness.
• Verify mathematical reasoning, statistical formulas, and data-based conclusions against reliable references.
• Run data scripts, such as Python or R code, to check results and handling of edge cases.
• Identify where models reason well or fail when solving analytical problems or developing predictive approaches.
• Check that responses follow task guidelines and meet professional standards.

Requirements

• A bachelor’s, master’s, or doctoral degree in data science, statistics, mathematics, or a related quantitative discipline.
• Practical experience in data analysis, predictive modeling, or machine learning engineering.
• Ability to solve challenging statistical problems and independently interpret complex visualizations.
• Careful analytical judgment, including the ability to spot subtle flaws in statistical reasoning and data interpretation.
• Substantial experience using large language models in data workflows and awareness of their common failure modes.
• Clear communication of mathematical ideas and analytical findings; a payment account is required to receive task compensation.

Nice to have

• Proficiency in Python with common data and machine learning libraries, or in R; advanced SQL; and data visualization tools such as Tableau, Power BI, or Python plotting libraries.
• Familiarity with machine learning frameworks and statistical modeling techniques.

Benefits and work setup

The work is described as remote and flexible. The listing cites researcher task rates of up to $80 per hour; actual rates and availability may vary. Candidates complete a 10- to 15-minute assessment before being invited to participate.