Data Science & Analysis - AI Training - Austin, US

prolificacademicltd; United States; Remote; USD 91,000 - 129,000; Full time

Job summary

prolificacademic ltd is looking for data science or analytics experts to perform paid tasks that train and evaluate AI systems. You will check technical reasoning, run statistical analyses, and review data-related code after a brief skills assessment.

Work is remote and flexible, with task rates up to $80 per hour. Applicants should hold a bachelor’s or higher in a quantitative field and have practical data analysis or ML experience, plus the ability to interpret complex visualizations and

Qualifications

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

Responsibilities

• Assess AI-generated data insights and 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.

Skills

Python

R

SQL

Plotting libraries

Education

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

Tools

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.