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Data Science & Analysis - AI Training - Birmingham, UK

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Prolific

2d ago

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

AI generated summary

  • You need a degree in a quantitative field, real-world data experience, strong analytical skills, LLM fluency, and clear communication ability. A PayPal account is required for payment.
  • You will evaluate AI-generated insights, fact-check technical claims, validate code outcomes, annotate model performance, and ensure alignment with guidelines for quality and professionalism.

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 is the job title for this position?

The job title is "Data Science & Analysis - AI Training."

Where is the job located?

The job is based in Birmingham, UK.

What type of expertise are you looking for in candidates?

We are looking for Data Scientists and Data Analysts with real-world experience in data analysis, predictive modeling, or machine learning engineering.

What qualifications are required for this role?

Candidates should have a BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field.

What is the expected pay for this role?

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

What technical skills should candidates possess?

Candidates should be proficient in Python (Pandas, NumPy, Scikit-learn) or R, have advanced SQL skills, experience with visualization tools like Tableau or PowerBI, and a deep understanding of Machine Learning frameworks (PyTorch, TensorFlow).

What will the selected candidates be doing in this role?

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

How can candidates receive payment?

Candidates must have a PayPal account to receive payment from clients.

How long will it take to join Prolific after passing the assessment?

Once you pass our assessment, you can join Prolific in just 15 minutes.

What are the work hours and flexibility for this position?

The position offers competitive pay rates, flexible hours, and the ability to work from home.

Is there an assessment process for candidates?

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

What do you mean by LLM fluency?

LLM fluency refers to having significant experience using large language models to assist with data workflows and understanding their limitations, such as hallucinations or failures.

What types of tasks can candidates expect to perform?

Candidates can expect tasks such as reviewing AI-generated insights, validating mathematical proof, executing data scripts, annotating model performance, and ensuring responses adhere to guidelines.

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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.