Data Science & Analysis - AI Training - Nashville, US

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

Job summary

prolificacademicltd is seeking individuals to apply data science or analytics skills to paid tasks that train and assess AI models. After a short skills assessment, successful applicants may review model responses, verify results, and provide feedback on how the system reasons through data problems.

Responsibilities include assessing AI-generated analyses for accuracy, running Python or R scripts to check edge cases, and clearly communicating statistical ideas.

Qualifications

• Degree in data science, statistics, mathematics, or a related quantitative field.
• Hands-on experience with data analysis, predictive modeling, or ML engineering.
• Strong statistical reasoning and ability to interpret complex visualizations.
• Attention to detail; identify flawed logic in data arguments.
• Experience using large language models in data workflows.
• Clear communication of math ideas; PayPal account required for payment.

Responsibilities

• Assess AI-generated analyses for accuracy and completeness.
• Verify statistical claims against reliable references.
• Run Python or R scripts to check results and edge cases.
• Describe model strengths and weaknesses in analysis and reasoning.
• Check that responses follow task guidelines and maintain standards.

Skills

Data analysis

Predictive modeling

Machine learning engineering

Statistical problem solving

Communication of findings

Attention to detail

LLMs in data workflows

Education

Bachelor/Master/PhD in data science or quantitative field

Tools

Python

R

SQL

Tableau/Power BI

Pandas/NumPy

PyTorch/TensorFlow

Job description

Role overview

Apply data science or analytics expertise to paid tasks that train and assess AI models. After a short skills assessment, successful applicants may be invited to review model responses, check technical work, and provide feedback on how systems reason through data problems.

Responsibilities

• Assess AI-generated analyses and data insights for accuracy, clarity, and completeness.
• Verify statistical claims, formulas, and mathematical reasoning against reliable references.
• Run data scripts in Python or R to check results and edge cases.
• Describe model strengths and weaknesses in analysis, prediction, and statistical reasoning.
• Check that responses follow task guidelines and maintain appropriate technical standards.

Requirements

• Bachelor’s, master’s, or doctoral degree in data science, statistics, mathematics, or a closely related quantitative discipline.
• Practical experience in data analysis, predictive modeling, or machine learning engineering.
• Strong statistical problem‑solving skills and the ability to interpret complex visualizations independently.
• Careful attention to detail, including spotting flawed logic in statistical arguments or interpretations.
• Substantial experience using large language models in data workflows, with an understanding of their common errors.
• Clear communication of mathematical ideas and data findings; a PayPal account is needed to receive payment.

Nice to have

• Proficiency in Python with tools such as Pandas, NumPy, or scikit‑learn, or in R; advanced SQL; data visualization with Tableau, Power BI, Matplotlib, or Seaborn; and familiarity with machine learning frameworks such as PyTorch or TensorFlow.

Benefits and work setup

Tasks are paid, with rates advertised by researchers of up to $80 per hour; actual rates may vary. Work is flexible and remote, though some tasks require one uninterrupted hour and many are shorter.

Applicants first complete a 10–15‑minute skills assessment.