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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 field.
- 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 Manchester 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 Manchester
✨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 familiar faces at StudySmarter!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with causal inference methods and any relevant projects. This is your chance to shine and demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of empirical research workflows. Be ready to discuss how you would approach tasks like data cleaning and variable construction. We want to see your thought process!
✨Tip Number 4
Don’t forget to apply through our website! We review every application personally, so make sure your CV reflects your passion for AI safety and alignment research. We’re excited to meet you!
We think you need these skills to ace Applied Economist (AI research project) in Manchester
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, include specific examples of how you've used these tools in your past work. We love seeing practical applications of your skills, so let us know what you've accomplished!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your points are easy to understand. This helps us get a quick grasp of your qualifications!
Apply Through Our Website: Don’t forget to submit your application through our website! We personally review every application, so applying directly ensures we see your CV and can consider you for the project without any automated filters getting in the way.
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, especially in replication studies, to demonstrate your interest in the intersection of these fields.
✨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 enthusiasm but also helps you gauge if this role aligns with your career goals.
✨Showcase Your Technical Skills
Be ready to discuss your proficiency in STATA, R, or Python. If possible, bring examples of your previous work that highlight your technical abilities, especially in data cleaning and variable construction. This will help illustrate your hands-on experience and problem-solving skills.