AI Training Data Scientist (Remote, Paid Tasks)

prolificacademicltd; United States; Remote; USD 21,000 - 34,000; Full time

Job summary

prolificacademicltd is offering remote, paid micro-task work focused on data science and analytics for training and evaluating AI models. Tasks involve checking statistical reasoning, data interpretations, and code accuracy across varying lengths and requirements, with an initial skills assessment before invitation.

Some tasks demand up to a full hour of uninterrupted work. Ideal candidates hold a quantitative degree and have hands-on experience in data analysis or ML workflows, including

Qualifications

• Bachelor’s, master’s, or doctoral degree in data science, statistics, mathematics, or a related quantitative field.
• Practical experience in data analysis, predictive modeling, or machine learning engineering.
• Strong statistical problem-solving skills and ability to interpret complex visualizations independently.
• Careful reasoning, including the ability to spot subtle errors in statistical arguments and data interpretations.
• Significant experience using large language models in data workflows, with awareness of their failure modes.
• Clear written communication of mathematical concepts and analytical findings.
• A PayPal account to receive task payments.

Responsibilities

• Assess AI-generated analyses for statistical accuracy, clarity, and completeness.
• Verify formulas, proofs, and data-based conclusions against reliable references.
• Run data scripts to check results, correctness, and handling of edge cases.
• Identify strengths and weaknesses in model reasoning about statistics and predictive modeling.
• Check that responses follow task guidelines and appropriate technical standards.

Skills

Statistical problem solving

Data interpretation

Clear written communication

Education

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

Tools

Python

R

SQL

Job description

prolificacademicltd is offering remote, paid micro-task work focused on data science and analytics for training and evaluating AI models. Tasks involve checking statistical reasoning, data interpretations, and code accuracy across varying lengths and requirements, with an initial skills assessment before invitation.

Some tasks demand up to a full hour of uninterrupted work. Ideal candidates hold a quantitative degree and have hands-on experience in data analysis or ML workflows, including