Data Science & Analysis - AI Training - UK

prolificacademicltd; United States; Remote; USD 66,000 - 110,000; Part time

Job summary

prolificacademicltd seeks a data science freelance reviewer to assess AI-generated analyses and insights. You will check statistical claims, run scripts in Python or R, and verify results across edge cases, ensuring clarity and correctness for paid tasks.

Applicants should hold a quantitative advanced degree and have practical ML or data analysis experience, with the ability to explain findings clearly and work remotely on project-based assignments up to an hour per task.

Qualifications

• Bachelor's/Master's/PhD in quantitative field or related data science discipline.
• Hands-on experience in data analysis, predictive modeling, or ML engineering.
• Strong statistical reasoning and attention to detail.
• Proficiency in Python or R and advanced SQL.
• PayPal account to receive payments.

Responsibilities

• Review AI-generated analyses and data insights for accuracy, clarity, and completeness.
• Check statistical claims, formulas, proofs, and conclusions against reliable references.
• Run Python or R scripts to validate results and identify edge-case problems.
• Assess how models reason about data problems and predictive tasks.
• Provide clear feedback on performance and adherence to guidelines.

Skills

Statistical reasoning

Data analysis

Predictive modeling

Machine learning engineering

Python or R programming

Advanced SQL

Education

Bachelor/Master/PhD in data science or quantitative field

Tools

Python

R

SQL

Job description

Role overview

Use professional data science or analytics experience to help assess and improve AI models through paid, project-based tasks. Work may involve checking statistical reasoning, evaluating generated insights, and testing data code; an initial skills assessment determines suitability for available tasks.

Responsibilities

• Review AI-generated analyses and data insights for accuracy, clarity, and completeness.
• Check statistical claims, formulas, proofs, and conclusions against reliable references.
• Run Python or R scripts to validate results and identify problems with edge cases.
• Assess how models reason about data problems and predictive modeling.
• Check responses against task guidelines and provide clear feedback on performance.

Requirements

• A 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 reasoning, attention to detail, and ability to interpret complex visualizations independently.
• Experience using large language models in data workflows, including awareness of their limitations.
• Ability to explain technical findings clearly; proficiency in Python or R and advanced SQL.
• A PayPal account to receive payments.

Nice to have

Experience with Python data and machine learning libraries, R, data visualization tools such as Tableau or Matplotlib, and frameworks such as PyTorch or TensorFlow.

Benefits and work setup

Tasks are remote and flexible, with some requiring up to an hour of uninterrupted work. The source describes rates of up to $80 per hour, depending on the study or task. A short assessment is part of the selection process.