Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Identify causal economics papers and evaluate AI model performance on empirical research.
- Company: Join Pareto.AI, a leading platform connecting AI researchers with industry experts.
- Benefits: Flexible part-time remote work, competitive pay, and collaboration with global experts.
- Why this job: Contribute to groundbreaking AI safety research while enhancing your skills in a dynamic field.
- Qualifications: PhD in Economics and hands-on experience with causal inference methods required.
- Other info: No automated screening; personal review of every application.
The predicted salary is between 70000 - 90000 £ per year.
About the Project
Pareto.AI is a human data-collection platform connecting leading AI researchers with trusted industry experts to collaborate on AI alignment, safety, and training projects. We are partnering with a frontier AI lab to evaluate an AI model's ability to replicate empirical economics research findings.
What You'll Do
- Identify suitable causal economics papers with publicly available replication data
- Write prompts asking the AI model to replicate findings given a research question, dataset, codebook, and context
- Write rubrics to evaluate the AI model's performance across each step of the empirical pipeline:
- Data cleaning
- Variable construction
- Specification choice
- Robustness judgment
Who We're Looking For
- PhD in Economics (required)
- Hands-on experience with causal inference methods — DiD, IV, RDD, RCT, natural experiments
- Familiarity with replication-friendly microdata — NLSY, ACS, CPS, administrative data
- Proficient in STATA, R, or Python
- Strong understanding of empirical research workflow from raw data to published results
- Bonus: experience with AI/ML tools or interest in AI evaluation
Ideal Background
- Active or former academic economist at a research university
- Published or working papers in applied microeconomics
- Fields: labor, health, development, public, environmental economics
Why Join
- Contribute to cutting-edge AI safety and alignment research
- Flexible part-time remote work — task-based engagement
- Collaborate with a global network of economists and AI researchers
- Competitive compensation per completed task
- Compensation - $100/hr USD
Apply:
To apply, submit your CV. We review every application personally — no automated screening. If your background is a strong fit, you'll receive a direct link to join the project and complete your application.
Applied Economist (AI research project) in London employer: Pareto.AI
Contact Detail:
Pareto.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Economist (AI research project) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the economics and AI fields. Attend relevant webinars or conferences, and don’t be shy about introducing yourself. You never know who might have a lead on an opportunity that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with causal inference methods and any relevant projects. This can be a great conversation starter during interviews and helps us see your practical experience in action.
✨Tip Number 3
Prepare for those interviews! Research common questions related to empirical research workflows and be ready to discuss your experience with STATA, R, or Python. Practising your responses can help you feel more confident and articulate.
✨Tip Number 4
Don’t forget to apply through our website! We review every application personally, so make sure your CV highlights your PhD and hands-on experience. A tailored application can really make you stand out in our eyes.
We think you need these skills to ace Applied Economist (AI research project) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD in Economics and any hands-on experience with causal inference methods. We want to see how your background aligns with the project, so don’t be shy about showcasing relevant skills and experiences!
Showcase Your Skills: When writing your application, emphasise your proficiency in STATA, R, or Python. We’re looking for someone who can navigate empirical research workflows, so let us know how you’ve tackled data cleaning and variable construction in your past work.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to understand your qualifications and interest in the project. Remember, we review every application personally!
Apply Through Our Website: Don’t forget to submit your application through our website! This ensures that we receive your CV directly and can give it the attention it deserves. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Pareto.AI
✨Know Your Economics Inside Out
Make sure you brush up on your causal inference methods and empirical research workflows. Be ready to discuss specific papers you've worked with, especially those involving replication data. This will show that you’re not just familiar with the theory but can apply it practically.
✨Showcase Your Technical Skills
Since proficiency in STATA, R, or Python is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common tasks related to data cleaning and variable construction beforehand.
✨Prepare Thoughtful Questions
Think of insightful questions about the project and its goals. This shows your genuine interest in AI alignment and safety research. Ask about the collaboration process with AI researchers or how they evaluate the AI model's performance.
✨Highlight Your Research Experience
Be ready to discuss your published or working papers in applied microeconomics. Share specific examples of your contributions and how they relate to the project. This will help the interviewers see your potential impact on their work.