Manhattan, NY · Remote
... Python Prior experience with AI evaluation, annotation, or model training workflows Why Join Us ... Freelance perks: autonomy, variety, and global collaboration Contribute to meaningful work that ...
Manhattan, NY · Remote
... Python Prior experience with AI evaluation, annotation, or model training workflows Why Join Us ... Freelance perks: autonomy, variety, and global collaboration Contribute to meaningful work that ...
$14.46 - $21.73
1% of jobs
$21.73 - $29
0% of jobs
$29 - $36.27
2% of jobs
$36.27 - $43.54
5% of jobs
$43.54 - $50.80
11% of jobs
$52.94 is the 25th percentile. Wages below this are outliers.
$50.80 - $58.07
18% of jobs
The median wage is $61.87 / hr.
$58.07 - $65.34
24% of jobs
$70.90 is the 75th percentile. Wages above this are outliers.
$65.34 - $72.61
18% of jobs
$72.61 - $79.88
13% of jobs
$79.88 - $87.15
5% of jobs
$87.15 - $94.41
3% of jobs
$14
$64
$94
| Aspect | Freelance Python Instructor | Python Tutor |
|---|---|---|
| Credentials | Typically requires Python proficiency, teaching experience, certifications (optional) | Requires strong Python skills, often no formal certification needed |
| Work Environment | Independent, flexible, online or in-person classes, often with multiple clients | One-on-one or small group sessions, usually online or in-person |
| Employer/Industry | Self-employed or contracted, education, coding bootcamps, online platforms | Self-employed or part of tutoring platforms, education sector |
Both roles involve teaching Python, but Freelance Python Instructors typically design courses for larger groups or institutions, while Python Tutors focus on personalized, one-on-one instruction. The main difference lies in scope, class size, and teaching format.
Full-time
This job post has expired today. Applications are no longer accepted.
Econometrics Instructor (AI Training) About The Role We're looking for experienced econometrics instructors and quantitative economists to help shape how AI understands and reasons through statistical and economic concepts. Your expertise will directly influence the quality of AI systems trained on econometric content — making a real impact on how the next generation of AI handles regression, causal inference, and quantitative analysis. Organization: Alignerr (Powered by Labelbox) Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Review and validate econometric questions, models, and explanations used in AI training datasets Assess the statistical accuracy, underlying assumptions, and interpretation of quantitative results Identify errors, logical gaps, and edge cases in AI-generated economic reasoning Provide clear, structured feedback to improve model clarity and correctness Apply your real-world teaching experience to evaluate content the way a rigorous instructor would Work independently and asynchronously on your own schedule Who You Are 3+ years of experience teaching econometrics or quantitative economics at a university or professional level Strong command of regression analysis, causal inference, and statistical inference methods Able to clearly articulate and evaluate quantitative reasoning in writing Comfortable reviewing structured, technical content with precision and consistency Self‐motivated and reliable when working independently on remote, task‐based projects Nice to Have Master's or PhD in Economics, Statistics, or a related quantitative field Proficiency with statistical tools such as R, Stata, or Python Prior experience with AI evaluation, annotation, or model training workflows Why Join Us Work on cutting‐edge AI projects with top research labs Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Contribute to meaningful work that improves how AI understands economics and statistics Potential for ongoing work and contract extension #J-18808-Ljbffr