Data Science & Analysis - AI Training - Newcastle upon Tyne, UK

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

Job summary

prolificacademicltd is seeking data science and analytics professionals to apply expertise to paid tasks that train and assess AI models. After a short skills assessment, successful applicants may review model responses, verify analyses, and provide feedback on statistical reasoning.

Responsibilities include assessing AI-generated analyses for accuracy, running Python or R scripts, and describing strengths and weaknesses in data-driven insights.

Qualifications

• 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.
• 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.

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.

Skills

Data analysis

Predictive modeling

Machine learning

Statistical reasoning

Python/R

Education

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

Tools

Pandas

NumPy

scikit-learn

SQL

Tableau/Power BI/Matplotlib/Seaborn

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.