Data Science & Analysis - AI Training - Denver, US

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

Job summary

Prolific Academic Ltd is seeking a data science/analytics professional to remotely join our team. You will review AI-generated analyses, verify statistical claims, and run Python or R scripts to reproduce results, focusing on accuracy and clarity across various tasks.

The role emphasizes rigorous statistical reasoning, attention to detail, and clear communication of technical ideas. Flexible task-based assignments may vary in length, with hourly compensation up to $80.

Qualifications

• Bachelor’s, master’s, or PhD-level qualification in data science, statistics, mathematics, or a related quantitative field.
• Applied experience in analytics, predictive modeling, or machine learning engineering.
• Ability to solve demanding statistical problems and interpret complex visualizations without assistance.
• Significant experience using large language models for data work and understanding their common limitations.
• Clear communication of technical ideas, along with a PayPal account for payments.

Responsibilities

• Evaluate AI-generated data findings for accuracy, clarity, and completeness.
• Fact-check technical reasoning, statistical methods, and conclusions against reliable sources.
• Execute Python or R scripts to confirm results and examine edge cases.
• Describe how well models handle data questions and predictive modeling tasks.
• Check responses against task-specific directions and professional conduct standards.

Skills

Data science

Analytics experience

Statistical reasoning

LLMs for data work

Clear communication

Education

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

Tools

Python (pandas/NumPy/scikit-learn)

R

SQL

Tableau/Power BI

PyTorch/TensorFlow

Job description

Role overview

Bring data science or analytics expertise to paid work that trains and evaluates AI models. Typical assignments involve scrutinizing generated analyses, checking statistical and mathematical claims, and testing data code. Participation follows a short skills assessment, and projects vary in length, with some requiring a full uninterrupted hour.

Responsibilities

• Evaluate AI-generated data findings for accuracy, clarity, and completeness.
• Fact-check technical reasoning, statistical methods, and conclusions against reliable sources.
• Execute Python or R scripts to confirm results and examine edge cases.
• Describe how well models handle data questions and predictive modeling tasks.
• Check responses against task-specific directions and professional conduct standards.

Requirements

• Bachelor’s, master’s, or PhD-level qualification in data science, statistics, mathematics, or a related quantitative field.
• Applied experience in analytics, predictive modeling, or machine learning engineering.
• Ability to solve demanding statistical problems and interpret complex visualizations without assistance.
• Strong attention to detail and skill at identifying weaknesses in statistical logic.
• Significant experience using large language models for data work and understanding their common limitations.
• Clear communication of technical ideas, along with a PayPal account for payments.

Nice to have

• Python with pandas, NumPy, or scikit-learn, or R; advanced SQL; visualization experience with Tableau, Power BI, Matplotlib, or Seaborn; and knowledge of PyTorch, TensorFlow, or statistical modeling methods.

Benefits and work setup

The work is remote and offers flexible task participation. Some assignments take an uninterrupted hour; many are shorter. Project compensation varies, with the listing noting potential rates of up to $80 per hour for some tasks.