Data Science & Analysis - AI Training - Charlotte, US

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

Benefits offered by this job

Remote work

Flexible hours

Job summary

prolificacademicltd seeks evaluators with data science or analytics expertise to assess and improve AI systems through paid, project-based tasks.

Responsibilities include reviewing model answers, verifying statistical claims, and running Python or R scripts to check results. Some tasks require an uninterrupted hour; project rates vary up to $80 per hour.

Qualifications

• Requires a quantitative degree and data analysis experience.
• Proven ability to solve statistical problems and interpret visuals.
• Experience using large language models in data workflows and clear mathematical communication.

Responsibilities

• Assess AI-generated analyses for accuracy, clarity, and completeness.
• Verify statistical claims against references and run scripts to check results.
• Document where models reason well or struggle with data problems.
• Check that responses follow task instructions and professional standards.

Skills

Data analysis

Predictive modeling

Statistical problem solving

Critical reasoning

Communication

LLM workflows

Education

Bachelor’s, Master’s, or Doctoral in data science or related quantitative field

Tools

Python

R

SQL

Tableau

Power BI

Matplotlib

Seaborn

PyTorch

TensorFlow

Job description

Role overview

Use your data science or analytics expertise to assess and improve AI systems through paid, project-based evaluation tasks. Work may include reviewing model answers, checking statistical reasoning, and running code; an initial skills assessment determines suitability, and some tasks require an uninterrupted hour.

Responsibilities

• Assess AI-generated analyses for accuracy, clarity, and completeness.
• Verify statistical claims, formulas, proofs, and conclusions against reliable references.
• Run Python or R scripts to check results and edge cases.
• Document where models reason well or struggle with data problems and predictive modeling.
• Check that responses follow task instructions and professional 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 or interpretations.
• Substantial experience using large language models in data workflows, with awareness of their limitations.
• Clear written communication of mathematical ideas and data insights; a PayPal account for payment.

Nice to have

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

Benefits and work setup

Tasks are offered flexibly and can be completed remotely. Many are shorter, though some require one uninterrupted hour. Project rates vary; the listing indicates that some work may pay up to $80 per hour.