Data Science & Analysis - AI Training - San Diego, US

prolificacademicltd; Stati Uniti; Remoto; USD 28.000 - 83.000; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible remote participation

PayPal payments for tasks

Descrizione del lavoro

prolificacademicltd in the United States is seeking contributors to perform data science and analytics tasks that evaluate AI model outputs. You will assess statistical reasoning, verify formulas, and run data scripts to check results. Tasks vary in length and may require an uninterrupted hour.

Applicants complete a short skills assessment before being invited to participate; experience with Python or R and strong written communication are valued, with PayPal as the payment method.

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.
• Clear written communication of mathematical concepts and analytical findings.
• Significant experience using large language models in data workflows, with awareness of their failure modes.

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

Data analysis

Predictive modeling

Machine learning

Statistical reasoning

LLM workflows

Written communication

Formazione

Bachelor’s/Master’s/PhD in data science or quantitative field

Strumenti

Python

R

SQL

Data visualization tools

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.