Econometrics Instructor
Posted Today by Alignerr
Negotiable
Outside
Remote
London, England, United Kingdom
Summary: The Econometrics Instructor role involves evaluating and enhancing AI systems focused on quantitative economic reasoning and statistical analysis. The position requires experienced instructors to review econometric questions and provide structured feedback to improve model clarity. This is a remote, hourly contract position with flexible hours. Candidates should have a strong background in econometrics and teaching experience.
Key Responsibilities:
- 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.
Key Skills:
- 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.
- Master’s or PhD in Economics or related field (nice to have).
- Experience with statistical tools (R, Stata, Python) (nice to have).
- Familiarity with AI or model evaluation workflows (nice to have).
Salary (Rate): £70.00/hour
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: Mid-Level
Industry: Other
Econometrics Instructor (AI Training)
About The Role
We’re looking for experienced econometrics instructors to help evaluate and improve AI systems trained on quantitative economic reasoning and statistical analysis.
Organization: Alignerr (Powered by Labelbox)
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 (Takes 10-15 min)
- Submit your resume
- Complete a short screening
- Project matching and onboarding
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.