Data Science & Analysis - AI Training - Jacksonville, US

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

Benefits offered by this job

Flexible remote work

Job summary

Prolific Academic Ltd is seeking qualified data scientists to join flexible, paid tasks that train and assess AI models. After a short skills assessment, successful applicants may review model responses, check technical work, and provide feedback on how systems reason through data problems.

You will assess AI-generated analyses, verify statistics, run Python or R checks, and describe model strengths and weaknesses.

Qualifications

• Degree in data science, statistics, mathematics, or related quantitative field.
• Practical experience in data analysis, predictive modeling, or ML engineering.
• Strong statistical problem-solving and ability to interpret complex visuals independently.
• Attention to detail and ability to spot flawed logic in statistical arguments.
• Experience using large language models in data workflows; aware of common errors.
• Clear communication of mathematical ideas and data findings; PayPal account needed for payment.

Responsibilities

• Assess AI-generated analyses and data insights for accuracy, clarity, and completeness.
• Verify statistical claims, formulas, and mathematical reasoning against references.
• Run data scripts in Python or R to check results and edge cases.
• Describe model strengths and weaknesses in analysis, prediction, and statistical reasoning.
• Check that responses follow task guidelines and maintain technical standards.

Skills

Data analysis

Statistical reasoning

Attention to detail

Communication of math ideas

LLMs in data workflows

Education

Bachelor’s/Master’s/Doctoral in quantitative field

Tools

Python

R

SQL

Tableau

TensorFlow

PyTorch

Job description

Role overview

Apply data science or analytics expertise to paid tasks that train and assess AI models. After a short skills assessment, successful applicants may be invited to review model responses, check technical work, and provide feedback on how systems reason through data problems.

Responsibilities

• Assess AI-generated analyses and data insights for accuracy, clarity, and completeness.
• Verify statistical claims, formulas, and mathematical reasoning against reliable references.
• Run data scripts in Python or R to check results and edge cases.
• Describe model strengths and weaknesses in analysis, prediction, and statistical reasoning.
• Check that responses follow task guidelines and maintain appropriate technical standards.

Requirements

• Bachelor’s, master’s, or doctoral degree in data science, statistics, mathematics, or a closely related quantitative discipline.
• Practical experience in data analysis, predictive modeling, or machine learning engineering.
• Strong statistical problem‑solving skills and the ability to interpret complex visualizations independently.
• Careful attention to detail, including spotting flawed logic in statistical arguments or interpretations.
• Substantial experience using large language models in data workflows, with an understanding of their common errors.
• Clear communication of mathematical ideas and data findings; a PayPal account is needed to receive payment.

Nice to have

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

Benefits and work setup

Tasks are paid, with rates advertised by researchers of up to $80 per hour; actual rates may vary. Work is flexible and remote, though some tasks require one uninterrupted hour and many are shorter.

Applicants first complete a 10–15‑minute skills assessment.