Logo of Huzzle

Data Science & Analysis - AI Training - Liverpool, UK

image

Prolific

3d ago

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

AI generated summary

  • You need a degree in a quantitative field, experience in data analysis or ML, strong problem-solving skills, fluency with LLMs, and effective communication abilities.
  • You will review AI insights for accuracy, validate technical claims, execute and check code outputs, assess model performance, and ensure alignment with guidelines.

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

What qualifications are required for this role?

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

Is there a test to assess my suitability for the position?

Yes, if you have the necessary experience, you'll be sent a quick 10- to 15-minute test to assess your skills for AI tasks.

How much can I expect to earn per hour?

Researchers looking for your skills tend to pay up to $80 per hour.

What are the expected tasks for this role?

You will evaluate LLM responses, fact-check technical claims, validate code and outputs, annotate model performance, and ensure alignment with system guidelines.

What technologies should I be proficient in for this role?

Proficiency in Python (Pandas, NumPy, Scikit-learn) or R, advanced SQL, data visualization tools like Tableau or PowerBI, and an understanding of Machine Learning frameworks are required.

Is there flexibility in working hours?

Yes, the role offers flexible hours, allowing you to work at times that suit you.

Do I need to have a PayPal account?

Yes, you need a PayPal account to receive payments from clients.

Can I work from home in this position?

Yes, you can work from home, providing you with the flexibility to manage your work environment.

What kind of experience are you looking for in candidates?

Real-world experience in data analysis, predictive modeling, or machine learning engineering is essential.

How does Prolific use the data collected from participants?

Prolific collects this data to develop more accurate, nuanced, and aligned AI systems by integrating diverse human perspectives and behaviours into AI development.

What happens after I pass the assessment?

If successful, you'll be invited to join Prolific as a participant, where you can start training and evaluating AI models.

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.