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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 80000 - 100000 £ 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 Edinburgh 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 Edinburgh
✨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, don’t forget to mention that you’re keen on projects like Pareto.AI!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your work with causal inference methods and any relevant projects. This will help you stand out when you apply through our website and give potential collaborators a taste of what you can do.
✨Tip Number 3
Stay updated on the latest in AI and economics. Follow relevant blogs, attend webinars, or join online forums. This knowledge will not only boost your confidence but also make you a more attractive candidate for cutting-edge projects like ours.
✨Tip Number 4
Be proactive! If you see a project that excites you, don’t hesitate to reach out directly. Express your interest and how your background aligns with their needs. Remember, we review every application personally, so make your voice heard!
We think you need these skills to ace Applied Economist (AI research project) in Edinburgh
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 workflow. 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 talk about your proficiency in STATA, R, or Python. You might even want to bring examples of your previous work or projects where you used these tools. Demonstrating your hands-on experience will give you an edge.
✨Understand the Project's Goals
Familiarise yourself with Pareto.AI and their mission in AI alignment and safety. Knowing how your role as an Applied Economist fits into their objectives will help you articulate your value during the interview.
✨Prepare Thoughtful Questions
Think of insightful questions to ask about the project and the team. This not only shows your interest but also helps you gauge if the role aligns with your career goals. Questions about collaboration with AI researchers or the evaluation process can be great conversation starters.