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- Tasks: Evaluate AI's ability to replicate empirical economics research findings and write evaluation rubrics.
- Company: Pareto.AI, a leading human data-collection platform for AI research.
- Benefits: Flexible part-time remote work, competitive pay, and collaboration with top economists.
- Other info: Collaborate with a global network and enjoy task-based engagement.
- Why this job: Join cutting-edge AI safety research and make a real impact in the field of economics.
- Qualifications: PhD in Economics and hands-on experience with causal inference methods required.
The predicted salary is between 70 - 90 £ per hour.
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.
Economist - Empirical Research Replication (AI Research Project) in Hull employer: Pareto.AI
Contact Detail:
Pareto.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Economist - Empirical Research Replication (AI Research Project) in Hull
✨Tip Number 1
Network like a pro! Reach out to fellow economists and AI researchers on platforms like LinkedIn or Twitter. Engaging in discussions about empirical research can open doors and lead to potential job opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with causal inference methods and any relevant projects you've worked on. This will give you an edge when discussing your fit for the role.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of replication-friendly microdata and the empirical research workflow. Being able to discuss these topics confidently will impress potential employers.
✨Tip Number 4
Don't forget to apply through our website! We review every application personally, so make sure your CV is tailored to highlight your relevant experience and skills for the Economist role.
We think you need these skills to ace Economist - Empirical Research Replication (AI Research Project) in Hull
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, let us know about your experience with these tools. Include specific projects or tasks where you’ve used them to demonstrate your capabilities.
Highlight Relevant Research: If you have published or working papers in applied microeconomics, make sure to mention them! We’re interested in your research experience, especially in fields like labour, health, or development economics.
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’d be a great 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.
✨Familiarise Yourself with AI Tools
Since the project involves AI evaluation, it’s a good idea to have a basic understanding of AI/ML tools. Even if you don’t have direct experience, showing enthusiasm and a willingness to learn can go a long way in impressing the interviewers.
✨Prepare for Practical Questions
Expect questions that test your ability to write prompts for the AI model or evaluate its performance. Think about how you would approach these tasks and be ready to explain your thought process clearly.
✨Showcase Your Collaboration Skills
This role involves working with a global network of economists and researchers. Be prepared to discuss any past experiences where you collaborated on research projects, highlighting your communication skills and teamwork.