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- Tasks: Review and enhance AI-generated economic analyses for public policy.
- Company: Leading economic consultancy with a focus on innovation.
- Benefits: Competitive hourly pay, flexible remote work, and dynamic projects.
- Why this job: Shape the future of economics with AI in a collaborative environment.
- Qualifications: 3+ years in public or applied economics and strong policy analysis skills.
- Other info: Ideal for those with a graduate degree and interest in AI workflows.
The predicted salary is between 13 - 16 £ per hour.
A leading economic consultancy is looking for economists experienced in public policy to review and improve AI-generated economic analyses. The role requires at least 3 years of experience in public or applied economics, with strong skills in policy analysis and feedback. Competitive hourly pay is offered, and the position allows for flexible remote work. Ideal candidates will have a graduate degree and familiarity with AI content workflows, contributing to innovative projects in a dynamic environment.
Remote Policy Economist for AI Training & Analysis employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Policy Economist for AI Training & Analysis
✨Tip Number 1
Network like a pro! Reach out to fellow economists and professionals in the AI field. Join relevant online forums or LinkedIn groups where you can share insights and learn about job openings. Remember, sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience in public policy and economic analysis. Include case studies or examples of your work with AI content workflows. This will give potential employers a clear picture of what you bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on current trends in AI and economics. Be ready to discuss how you can improve AI-generated analyses. We want to see your passion for the field, so don’t hold back on sharing your ideas!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us. Don’t miss out on the chance to land that remote role!
We think you need these skills to ace Remote Policy Economist for AI Training & Analysis
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in public policy and applied economics. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and economic analysis. We love seeing candidates who can connect their experience to our innovative projects.
Showcase Your Analytical Skills: Since the role involves reviewing AI-generated analyses, it’s crucial to demonstrate your strong policy analysis skills. Include examples of how you've provided feedback or improved economic reports in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Alignerr
✨Know Your Economics
Brush up on your public and applied economics knowledge. Be ready to discuss specific economic theories and how they apply to AI-generated analyses. This will show that you not only understand the subject but can also provide valuable insights.
✨Familiarise with AI Workflows
Since the role involves AI content workflows, make sure you understand how AI can impact economic analysis. Research recent advancements in AI within economics and be prepared to discuss how you can leverage these tools in your work.
✨Prepare for Policy Analysis Questions
Expect questions that assess your skills in policy analysis and feedback. Think of examples from your past experience where you successfully reviewed or improved policies. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Showcase Your Flexibility
As this position allows for flexible remote work, highlight your ability to manage time effectively and work independently. Share examples of how you've successfully collaborated with teams remotely, ensuring that you can thrive in a dynamic environment.
