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- 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 environment.
- 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 Leeds 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 Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the economics and AI fields. A friendly chat can lead to opportunities you might not find on job boards. Plus, we love seeing candidates who come recommended!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your work with causal inference methods and any relevant projects. This will help us see your expertise in action and how you can contribute to our exciting AI research.
✨Tip Number 3
Get familiar with our project! Dive into the world of AI alignment and safety. Understanding our mission will not only impress us but also help you tailor your discussions during interviews.
✨Tip Number 4
Apply through our website! We review every application personally, so make sure to submit your CV directly. This way, you’ll skip the automated screening and get straight to the good stuff!
We think you need these skills to ace Applied Economist (AI research project) in Leeds
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 Technical Skills: Since proficiency in STATA, R, or Python is key for this role, make sure to include specific examples of how you've used these tools in your past work. We love seeing practical applications of your skills!
Highlight Relevant Research: If you have published or working papers in applied microeconomics, make sure to mention them! This will help us understand your expertise and how it fits into our project’s goals.
Apply Through Our Website: Don’t forget to submit your application through our website! We personally review every application, so this is your chance to stand out and show us why you’re the perfect fit for the team.
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 that involve replication data. This will show your depth of knowledge and how it applies to the role.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in STATA, R, or Python during the interview. You might be asked to solve a problem or explain how you would approach data cleaning or variable construction. Practising these skills beforehand can really set you apart.
✨Prepare Thoughtful Questions
Think about what you want to know regarding the project and the team. Asking insightful questions about the AI model's evaluation process or the collaboration with the frontier AI lab can show your genuine interest and engagement with the project.
✨Highlight Your Research Experience
If you have published papers or working papers in applied microeconomics, make sure to mention them. Discussing your research experience not only showcases your expertise but also demonstrates your ability to contribute meaningfully to the project.