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Data Science & Analysis - AI Training - Nottingham, UK

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Prolific

Yesterday

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Nottingham
    Remote

AI generated summary

  • You need a degree in a quantitative field, real-world data experience, strong analytical skills, LLM fluency, and clear communication abilities. A PayPal account is also required.
  • You will evaluate LLM responses, fact-check claims, validate code, annotate model performance, and ensure alignment with guidelines while maintaining professional technical standards.

Requirements

  • Education: a BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field.
  • Professional Experience: real-world experience in data analysis, predictive modeling, or machine learning engineering.
  • Technical Rigor: the ability to solve complex statistical problems and interpret high-level data visualizations independently.
  • Analytical Mindset: strong attention to detail with the ability to identify subtle logical fallacies in statistical reasoning or data interpretations.
  • LLM Fluency: significant experience using LLMs to assist with data workflows, with a clear understanding of where these models typically hallucinate or fail.
  • Communication: the ability to explain complex mathematical concepts or data insights clearly and concisely.
  • A PayPal account to receive payment from our clients

Responsibilities

  • Evaluate LLM Responses: review AI-generated data insights and statistical analysis for accuracy, clarity, and completeness.
  • Fact-Check Technical Claims: use authoritative references to validate mathematical proofs, statistical formulas, and data-driven conclusions.
  • Validate Code & Outputs: execute data-related scripts (e.g., Python/R) to ensure they produce correct results and handle edge cases properly.
  • Annotate Model Performance: identify strengths and weaknesses in how a model reasons through data problems or builds predictive models.
  • Ensure Alignment: verify that model responses follow specific system guidelines and maintain a high standard of professional technical behavior.

FAQs

Is this position open to remote applicants?

Yes, this position allows for remote work, providing flexibility to participants.

What educational qualifications are required for this role?

A BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field is required.

What kind of technical experience is necessary?

Candidates should have real-world experience in data analysis, predictive modeling, or machine learning engineering.

How much can I earn as a participant?

Researchers typically pay up to $80 per hour for completed tasks.

What technical skills do I need for this position?

Proficiency in Python (Pandas, NumPy, Scikit-learn) or R, advanced SQL skills, and experience with visualization tools like Tableau, PowerBI, or Matplotlib/Seaborn are necessary.

What will I be evaluating in this role?

You will be evaluating AI-generated data insights and statistical analyses for accuracy, clarity, and completeness, among other responsibilities.

Is there a test involved in the application process?

Yes, successful candidates will be required to complete a quick 10- to 15-minute test to assess their skills and suitability for AI tasks.

What kind of work will I be doing?

You will be fact-checking technical claims, validating code and outputs, annotating model performance, and ensuring model responses follow guidelines.

Do I need a specific payment method?

Yes, you must have a PayPal account to receive payments for completed tasks.

How can I join Prolific as a participant?

After passing the assessment, you can join Prolific in just 15 minutes and start taking part in tasks.

Why is Prolific an attractive platform for participants?

Prolific offers competitive pay rates, flexible hours, and the opportunity to influence the development of future AI models using your professional expertise.

How does Prolific ensure the quality of data collected?

Prolific connects researchers with a global pool of participants to gather high-quality, ethically sourced human behavioral data, which is crucial for developing accurate and nuanced AI systems.

What is the role of human data in AI development at Prolific?

Human data is essential for integrating diverse perspectives and behaviors into AI development, positioning Prolific at the forefront of the next wave of AI innovation.

What happens to my personal information during the application process?

By submitting your application, you agree that Prolific may collect your personal data for recruiting and organizational planning, following their Candidate Privacy Notice for data processing details.

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Prolific

We're connecting people around the world to make trustworthy data more accessible and facilitate world-changing research

Education
Industry
51-200
Employees
2014
Founded Year

Mission & Purpose

Prolific (www.prolific.co) is changing how research on the internet is done. We started by building a marketplace that connects researchers (from both Academia and industry) with instant, high quality, global research participants. Now, as a growing team, the bigger vision is to build the most powerful and trusted platform for behavioral research. Quantitative and qualitative researchers, data scientists, and entrepreneurs all need valid and reliable data sources to make predictions about human behaviour and social change. Thanks to our online platform, researchers collect responses fast and participants earn cash rewards for themselves or for charity. It takes 5 minutes to start data collection, there's no middleman, and the product easily integrates with any survey software. In a world of unreliable results, Prolific makes data trustworthy and connects the public with science.