Data Science & Analysis - AI Training - US

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

Benefits offered by this job

Remote work

Flexible schedule

Competitive task rates

Job summary

Prolific Academic Ltd. seeks data science and analytics specialists to review and validate AI model outputs. You will assess statistical reasoning, check calculations, and verify insights, using Python or R and SQL. Work is remote with flexible scheduling; task rates can reach up to $80 per hour.

A brief skills test is required before access to tasks, and payments are made via PayPal. Strong attention to detail and independent problem solving are essential assets for success in this role.

Qualifications

• Bachelor's/Master's/PhD in data science, statistics, mathematics, or related field.
• Hands-on experience with data analysis, predictive modeling, or ML engineering.
• Ability to solve statistical problems and interpret complex data visualizations.
• Strong attention to detail and experience using language models in data workflows.
• Clear written communication and proficiency in Python or R, plus advanced SQL.
• PayPal account for payments.

Responsibilities

• Assess AI-generated statistical analyses and data insights for accuracy and completeness.
• Verify technical claims, calculations, and conclusions using dependable references.
• Execute Python or R code to check outputs and test edge cases.
• Identify strengths and weaknesses in model reasoning about data and prediction.
• Give clear evaluations of whether responses meet the task's technical guidelines.

Skills

Python

R

SQL

Data analysis

Statistical reasoning

Written communication

Language models usage

Education

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

Tools

Pandas

NumPy

Scikit-learn

Tableau

Power BI

Matplotlib

Seaborn

PyTorch

TensorFlow

Job description

Role overview

Contribute data science or analytics expertise to paid tasks that help evaluate and improve AI models. Assignments can include reviewing statistical reasoning, checking model-generated insights, and validating code; eligibility is assessed through a brief skills test before access to tasks.

Responsibilities

• Assess AI-generated statistical analyses and data insights for accuracy and completeness.
• Verify technical claims, calculations, and conclusions using dependable references.
• Execute Python or R code to check outputs and test edge cases.
• Identify strengths and weaknesses in model reasoning about data and prediction.
• Give clear evaluations of whether responses meet the task's technical guidelines.

Requirements

• A bachelor's, master's, or doctoral degree in data science, statistics, mathematics, or a closely related quantitative discipline.
• Hands-on experience with data analysis, predictive modeling, or machine learning engineering.
• Ability to solve statistical problems and interpret complex data visualizations independently.
• Strong attention to detail and substantial experience using language models in data workflows, with an understanding of common failure modes.
• Clear written communication and proficiency in Python or R, plus advanced SQL skills.
• A PayPal account for receiving payments.

Nice to have

• Familiarity with Pandas, NumPy, Scikit-learn, Tableau, Power BI, Matplotlib, Seaborn, PyTorch, TensorFlow, or statistical modeling methods.

Benefits and work setup

Work is remote and schedule-flexible. Some paid assignments require an uninterrupted hour, while many are shorter. Task rates may reach $80 per hour, depending on the work. Applicants complete a short assessment before being considered for tasks.