Remote Data Science & AI Model Evaluator

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

Benefits offered by this job

Flexible, remote participation

PayPal payments

Job summary

Prolific Academic Ltd. is seeking contributors to review AI-generated analyses and help improve model reasoning about data. You will verify calculations, run Python/R scripts, and provide feedback on statistical methods during task-based work. A short skills assessment is part of the process.

Successful applicants may be invited to review technical responses, ensure scientific accuracy, and contribute to high-quality data insights. Flexible remote participation is described with pay per task.

Qualifications

• Bachelor's, master's or doctoral degree in data science, statistics, mathematics, or closely related quantitative field.
• Practical experience in data analysis, predictive modelling, or ML engineering.
• Strong statistical problem-solving and ability to interpret complex visualisations.
• Careful reasoning to spot subtle errors in statistical arguments.
• Experience using large language models in data workflows.
• Clear written communication of mathematical concepts and data insights, + PayPal for payment.

Responsibilities

• Assess AI-generated analyses for statistical accuracy, clarity, and completeness.
• Check mathematical reasoning, formulas and data-based conclusions against references.
• Run data scripts in Python or R to check results and edge cases.
• Provide feedback on model reasoning in statistics and predictive modelling.
• Check that responses follow task guidelines and professional standards.

Skills

Data analysis

Predictive modelling

Statistical problem solving

LLM in data workflows

Mathematical communication

Python/R usage

Education

Bachelor's/Master's/PhD in data-related field

Tools

Python

R

Pandas

NumPy

scikit-learn

SQL

Tableau

Power BI

Matplotlib

Seaborn

PyTorch

TensorFlow

Job description

Prolific Academic Ltd. is seeking contributors to review AI-generated analyses and help improve model reasoning about data. You will verify calculations, run Python/R scripts, and provide feedback on statistical methods during task-based work. A short skills assessment is part of the process.

Successful applicants may be invited to review technical responses, ensure scientific accuracy, and contribute to high-quality data insights. Flexible remote participation is described with pay per task.