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- Tasks: Evaluate and improve AI systems using your econometrics expertise.
- Company: Join Alignerr, a forward-thinking company powered by Labelbox.
- Benefits: Earn $35-70/hour with flexible remote work options.
- Why this job: Make an impact on cutting-edge AI projects while enjoying freelance perks.
- Qualifications: 3+ years teaching econometrics and strong statistical knowledge required.
- Other info: Potential for contract extension and global collaboration.
The predicted salary is between 28 - 56 £ per hour.
We’re looking for experienced econometrics instructors to help evaluate and improve AI systems trained on quantitative economic reasoning and statistical analysis.
Location: Remote
Type: Hourly / Task-based Contract
Compensation: $35-70 /hour
Commitment: 10-40 hours/week
What You’ll Do:
- Review and validate econometric questions, models, and explanations used in AI training.
- Assess statistical accuracy, assumptions, and interpretation of results.
- Provide structured feedback to improve model reasoning and clarity.
- Apply real‑world teaching experience to identify errors and edge cases.
- Work independently and asynchronously to meet project deadlines.
Who You Are:
- 3+ years of experience teaching econometrics or quantitative economics.
- Strong understanding of regression, causal inference, and statistical methods.
- Able to clearly explain and evaluate quantitative reasoning.
- Comfortable reviewing structured, technical content.
Nice to Have:
- Master’s or PhD in Economics or related field.
- Experience with statistical tools (R, Stata, Python).
- Familiarity with AI or model evaluation workflows.
Why Join Us:
- Competitive pay and flexible remote work.
- Lead a team working on cutting‑edge AI projects.
- Exposure to advanced LLMs and how they’re trained.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process:
- Submit your resume
- Complete a short screening
- Project matching and onboarding
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Econometrics Instructor (AI Training) employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Econometrics Instructor (AI Training)
✨Tip Number 1
Make sure to showcase your teaching experience in econometrics during interviews. We want to hear about specific examples where you've successfully explained complex concepts or improved student understanding.
✨Tip Number 2
Brush up on your statistical tools like R, Stata, or Python before the interview. Being able to discuss how you’ve used these tools in real-world scenarios will definitely give you an edge.
✨Tip Number 3
Prepare to talk about your approach to evaluating AI models. We’re keen to know how you assess statistical accuracy and interpret results, so have some examples ready to share.
✨Tip Number 4
Don’t forget to apply through our website! It’s the quickest way for us to get your application and start the conversation about this exciting opportunity.
We think you need these skills to ace Econometrics Instructor (AI Training)
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your experience in teaching econometrics and any relevant statistical tools you've used. We want to see how your background aligns with the role, so don’t be shy about showcasing your skills!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about econometrics and AI. Share specific examples of your teaching experience and how it relates to evaluating AI systems. This is your chance to stand out!
Be Clear and Concise: When filling out your application, keep your answers straightforward and to the point. We appreciate clarity, especially when it comes to technical content. Make it easy for us to see your qualifications!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the quickest way for us to receive your details and get you into the review process. Plus, we check applications daily, so you won’t be waiting long!
How to prepare for a job interview at Alignerr
✨Know Your Econometrics Inside Out
Make sure you brush up on your econometrics knowledge, especially regression, causal inference, and statistical methods. Be ready to discuss how these concepts apply to AI training and model evaluation, as this will show your expertise and confidence.
✨Prepare Real-World Examples
Think of specific instances from your teaching experience where you've identified errors or edge cases in econometric models. Sharing these examples during the interview will demonstrate your practical understanding and ability to apply theoretical knowledge.
✨Familiarise Yourself with AI Workflows
Even if you’re not an AI expert, having a basic understanding of AI training processes and model evaluation workflows can set you apart. Research how AI systems use econometric principles and be prepared to discuss how you can contribute to improving these systems.
✨Showcase Your Communication Skills
Since the role involves providing structured feedback, practice explaining complex concepts clearly and concisely. During the interview, focus on how you can effectively communicate your insights to improve model reasoning and clarity.
