At a Glance
- Tasks: Train and evaluate cutting-edge AI models using your data science skills.
- Company: Join Prolific, a leader in human data for AI development.
- Benefits: Earn up to $80 per hour with flexible hours and remote work.
- Other info: Quick assessment to join our Expert Network and start earning.
- Why this job: Make a real impact on the future of AI while working from home.
- Qualifications: Degree in Data Science or related field; experience in data analysis and machine learning.
The predicted salary is between 48000 - 64000 € per year.
About Prolific
Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
The role
We’re looking for Data Scientists and Data Analysts to join our Expert Network to help train and evaluate cutting‑edge AI models using real technical expertise. If you have the necessary experience, we will send you a quick 10‑to‑15 minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to train and evaluate powerful AI models. Researchers pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.
What you’ll bring
- 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.
What you’ll be doing in the role
- 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.
Key Technologies
- Programming: proficiency in Python (Pandas, NumPy, Scikit‑learn) or R.
- Data Querying: advanced SQL for complex data extraction and manipulation.
- Visualization: experience with tools like Tableau, PowerBI, or Matplotlib/Seaborn.
- Modeling: deep understanding of Machine Learning frameworks (PyTorch, TensorFlow) and statistical modeling techniques.
Why Prolific is a great platform to join as a Participant
Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We believe that the next leap in AI capabilities won’t come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.
Data Science & Analysis - AI Training - Brighton, UK employer: Prolific
Prolific is an exceptional employer that empowers Data Scientists and Analysts to shape the future of AI through meaningful work. Located in Brighton, UK, we offer competitive pay rates of up to $80 per hour, flexible working hours, and the opportunity to work from home, all while contributing to a diverse and innovative AI landscape. Our collaborative work culture fosters professional growth and encourages the integration of unique human perspectives into AI development, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science & Analysis - AI Training - Brighton, UK
✨Tip Number 1
Get your networking game on! Connect with professionals in the data science and AI fields on platforms like LinkedIn. Join relevant groups, participate in discussions, and don’t be shy to reach out for informational chats. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects or any AI models you've worked on. This is your chance to demonstrate your technical prowess and analytical mindset. Make sure to include links to your GitHub or any relevant online profiles.
✨Tip Number 3
Prepare for those assessments! If you’re applying to Prolific, you’ll need to ace a quick test. Brush up on your Python, SQL, and machine learning concepts. Practise with sample problems to ensure you can tackle anything they throw at you.
✨Tip Number 4
Apply through our website! It’s the quickest way to get your application in front of the right people. Plus, you’ll be able to keep track of your application status easily. Don’t miss out on the chance to join Prolific and influence the future of AI!
We think you need these skills to ace Data Science & Analysis - AI Training - Brighton, UK
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Science & Analysis role. Highlight your relevant experience in data analysis, predictive modelling, and any work with LLMs. We want to see how your skills align with what we're looking for!
Show Off Your Technical Skills:Don’t hold back on showcasing your technical prowess! Mention your proficiency in Python, SQL, or R, and any experience with machine learning frameworks. We love seeing candidates who can demonstrate their ability to tackle complex statistical problems.
Be Clear and Concise:When explaining your experience or insights, keep it straightforward. Use clear language to describe your past projects and how you approached them. We appreciate candidates who can communicate complex concepts simply and effectively.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the quickest way to get your application in front of us. Plus, you’ll find all the details you need about the role and our company there!
How to prepare for a job interview at Prolific
✨Know Your Data Inside Out
Before the interview, brush up on your knowledge of data analysis and machine learning concepts. Be ready to discuss your past experiences with predictive modelling and how you've tackled complex statistical problems. This will show that you have the technical rigor they’re looking for.
✨Showcase Your LLM Fluency
Since the role requires significant experience with LLMs, prepare to talk about specific instances where you've used these models in your workflows. Highlight any challenges you faced, especially where models might hallucinate or fail, and how you addressed them.
✨Practice Clear Communication
You’ll need to explain complex mathematical concepts clearly, so practice articulating your thoughts. Consider explaining a challenging project to a friend or family member who isn’t in the field. This will help you refine your ability to communicate insights concisely during the interview.
✨Familiarise Yourself with Key Technologies
Make sure you’re comfortable discussing the programming languages and tools mentioned in the job description, like Python, SQL, and data visualisation tools. If possible, review some recent projects or examples that demonstrate your proficiency in these areas.