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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 Bristol 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 Bristol
✨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! Brush up on your knowledge of empirical research workflows and be ready to discuss how you’ve tackled data cleaning and variable construction in past projects. We love hearing about your hands-on experience!
✨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 any relevant publications. 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 Bristol
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 sure your key points stand out. This helps us quickly understand your qualifications and enthusiasm for the project.
Apply Through Our Website: Don’t forget to submit your application through our website! We review every application personally, so this is your chance to shine. Plus, it ensures you’re in the loop for any updates regarding your application status.
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 AI Concepts
Even if your main focus is economics, having a basic understanding of AI and machine learning tools can set you apart. Research how AI can be applied in economic contexts, and be prepared to discuss any relevant experience or interest you have in this area.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the project, the team, and the expectations. This not only shows your interest but also helps you gauge if the role aligns with your career goals.
✨Showcase Your Technical Skills
Be ready to demonstrate your proficiency in STATA, R, or Python. If possible, bring examples of your work or projects that highlight your technical abilities. This practical demonstration can really impress the interviewers.