Data Science & Analysis - AI Training - Oklahoma City, US

prolificacademicltd; Stati Uniti; Remoto; USD 21.000 - 34.000; Tempo pieno

Descrizione del lavoro

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

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Statistical problem solving

Data interpretation

Clear written communication

Formazione

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

Strumenti

Python

R

SQL

Descrizione del lavoro

Role overview

Contribute data science and analytics expertise to the training and evaluation of AI models through paid, individual tasks. The work focuses on checking whether model-generated statistical reasoning, data interpretations, and code are accurate and useful. Applicants complete a short skills assessment before being invited to participate; tasks vary in length, and some require an uninterrupted hour.

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.

Requirements

• 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.

Nice to have

• Proficiency in Python or R; familiarity with common data and machine learning libraries and frameworks.
• Advanced SQL skills and experience with data visualization tools.
• Knowledge of statistical modeling and machine learning methods.

Benefits and work setup

Flexible, remote participation is described; tasks are paid, with some requiring one hour of uninterrupted work.