At a Glance
- Tasks: Join our Expert Network to train and evaluate cutting-edge AI models.
- Company: Prolific, a leader in quality human data for AI development.
- Benefits: Competitive pay up to $80/hour, flexible hours, and remote work.
- Other info: Quick assessment to join and start working in just 15 minutes.
- Why this job: Make an impact in AI while earning money from the comfort of your 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.
Role Overview
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’ll send you a quick 10‑ to 15‑minute test to assess your skills and suitability for AI tasks. Successful candidates will be invited to join Prolific as a participant, getting paid to train and evaluate powerful AI models. Researchers pay up to $80 per hour for your skills. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.
Qualifications
- 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.
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 behaviour.
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.
Benefits
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.
Data Science & Analysis - AI Training - Belfast, UK employer: Prolific
Prolific is an exceptional employer, offering a unique opportunity for Data Scientists and Analysts to engage in meaningful work that directly contributes to the advancement of AI technology. With competitive pay rates of up to $80 per hour, flexible working hours, and the convenience of remote work from Belfast, employees can enjoy a supportive work culture that prioritises professional growth and technical excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science & Analysis - AI Training - Belfast, UK
✨Tip Number 1
Network like a pro! Reach out to fellow data enthusiasts on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream gig.
✨Tip Number 2
Prepare for those assessments! Brush up on your Python, SQL, and machine learning skills. We recommend doing some mock tests or projects to showcase your expertise before you even get the chance to apply.
✨Tip Number 3
Show off your work! Create a portfolio of your data analysis projects and share them online. We love seeing real-world applications of your skills, and it gives you an edge when applying through our website.
✨Tip Number 4
Be ready to chat! If you get an interview, practice explaining complex concepts in simple terms. We want to see how well you can communicate your insights, so make sure you can break it down for anyone!
We think you need these skills to ace Data Science & Analysis - AI Training - Belfast, UK
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in data science and analysis. We want to see how your skills align with the role, so don’t be shy about showcasing your technical prowess!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our Expert Network. Keep it concise but impactful!
Showcase Your Technical Skills:When filling out your application, be specific about your programming skills and tools you’ve used. Mention your experience with Python, SQL, or any machine learning frameworks – we love to see that!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the quickest way for us to receive your application and get you started on the path to joining Prolific!
How to prepare for a job interview at Prolific
✨Know Your Data Inside Out
Before the interview, brush up on your data analysis skills and be ready to discuss specific projects you've worked on. Be prepared to explain your thought process when solving complex statistical problems, as this will showcase your analytical mindset.
✨Showcase Your Technical Skills
Make sure you can demonstrate your proficiency in Python or R during the interview. You might be asked to solve a problem on the spot, so practice coding challenges related to data manipulation and machine learning frameworks like TensorFlow or PyTorch.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. The interviewers will want to see if you can communicate your insights effectively, especially when discussing LLMs and their limitations. Use examples from your experience to illustrate your points.
✨Prepare for the Test
Since there's a quick test involved, take some time to review common data science tasks and predictive modelling techniques. Familiarise yourself with the types of questions that may come up, and ensure you're comfortable with executing data-related scripts.
