Data Science & Analysis - AI Training - Columbus, US

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

Job summary

prolificacademicltd is seeking participants for professional data science and analytics evaluation tasks. You will review AI-generated analyses, verify statistical claims, and run Python or R scripts to test outputs.

Tasks vary in length, with some requiring a full uninterrupted hour, and compensation can reach $80 per hour depending on the project. Applicants typically hold a bachelor’s to doctoral degree in a quantitative field and have real-world analytics or ML experience.

Qualifications

• Bachelor’s/Master’s/Doctoral degree in data science, statistics, mathematics or related field.
• Real-world analytics, predictive modeling or ML engineering experience.
• Ability to tackle challenging statistical problems and interpret data visualizations independently.
• Strong attention to detail and ability to identify flawed statistical logic.
• Experience with large language models in data workflows and clear math communication.

Responsibilities

• Review AI-generated data analyses for correctness, clarity, and completeness.
• Check mathematical and statistical claims against authoritative references.
• Execute Python or R scripts to verify outputs and test edge cases.
• Record strengths and weaknesses in model reasoning about data and predictive methods.
• Ensure responses comply with task guidance and professional standards.

Skills

Analytics experience

Predictive modeling

Statistical reasoning

Communication skills

Education

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

Tools

Python

R

SQL

Tableau/Power BI

Matplotlib/Seaborn

PyTorch/TensorFlow

Job description

Role overview

Apply professional data science or analytics judgment to help assess and improve AI systems through paid, project-based evaluation tasks. Work can involve reviewing model-generated insights, validating statistical reasoning, and checking code outputs. Candidates first complete a short skills assessment; suitable participants may then receive tasks of varying lengths, including some that require an uninterrupted hour.

Responsibilities

• - Review AI-generated data analyses for correctness, clarity, and completeness.
• - Check mathematical and statistical claims against authoritative references.
• - Execute data scripts in Python or R to verify outputs and test edge cases.
• - Record strengths and weaknesses in model reasoning about data and predictive methods.
• - Confirm that responses comply with task guidance and expected professional standards.

Requirements

• - A bachelor’s, master’s, or doctoral degree in data science, statistics, mathematics, or a closely related quantitative subject.
• - Real-world experience in analytics, predictive modeling, or machine learning engineering.
• - Ability to work through challenging statistical problems and interpret sophisticated data visualizations independently.
• - Strong attention to detail and skill in identifying flawed statistical logic or data interpretation.
• - Significant use of large language models in data workflows and understanding of common failure modes.
• - Concise communication of mathematical concepts and analytical findings, plus a PayPal account for payment.

Nice to have

• - Python skills, including pandas, NumPy, or scikit-learn, or R; advanced SQL; experience with Tableau, Power BI, Matplotlib, or Seaborn; and knowledge of machine learning frameworks such as PyTorch or TensorFlow.

Benefits and work setup

Work is flexible and remote, with task duration varying; some assignments need a full uninterrupted hour. Rates depend on the project, and the listing notes that certain tasks may pay up to $80 per hour.