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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 at $100/hr, and collaboration opportunities.
- Why this job: Contribute to groundbreaking AI safety research while working with top economists globally.
- 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 Reading 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 Reading
✨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 the perfect opportunity!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with causal inference methods and any relevant projects. This can really set you apart when you’re chatting with potential collaborators or employers.
✨Tip Number 3
Stay updated on industry trends! Follow key publications and thought leaders in economics and AI. This will not only help you in interviews but also give you great talking points when networking.
✨Tip Number 4
Apply through our website! We review every application personally, so make sure to submit your CV directly. If your background fits, you’ll get a direct link to join the project and complete your application. Let’s get you started on this exciting journey!
We think you need these skills to ace Applied Economist (AI research project) in Reading
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. Mention any familiarity with replication-friendly microdata and how you've used these tools in your past work. This will help us see your fit for the role!
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. A well-structured application goes a long way!
Apply Through Our Website: Don’t forget to apply through our website! We personally review every application, so submitting directly helps us get to know you better. Plus, it ensures you’re in the loop for any updates regarding your application.
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 workflow. Be ready to discuss specific papers you've worked on and how they relate to the project. This will show your depth of knowledge and passion for the field.
✨Familiarise Yourself with the Tools
Since proficiency in STATA, R, or Python is crucial, ensure you can talk confidently about your experience with these tools. Maybe even prepare a quick example of how you've used them in past projects to demonstrate your skills.
✨Prepare for Practical Scenarios
Think about how you would approach writing prompts for the AI model or evaluating its performance. Practising these scenarios can help you articulate your thought process clearly during the interview.
✨Show Your Interest in AI Alignment
Since this role involves AI safety and alignment, be prepared to discuss your views on these topics. Showing genuine interest and understanding of AI evaluation will set you apart from other candidates.