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Freelance Python Quant Jobs in Chicago, IL (NOW HIRING)

Alignerr

Econometrics Instructor

Chicago, IL · Remote

... quantitative field * Proficiency in statistical tools such as R, Stata, or Python * Prior ... Freelance perks: autonomy, variety, and collaboration with experts across the globe * Unique ...

Alignerr

Data Scientist (Masters)

Chicago, IL · Remote

Author Ground-Truth Solutions - Write rigorous, step-by-step technical solutions - including Python ... Freelance autonomy with meaningful, intellectually engaging work * High-impact contributions: your ...

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Freelance Python Quant information

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$101K

$174.8K

$267.3K

How much do freelance python quant jobs pay per year?

As of Jun 4, 2026, the average yearly pay for freelance python quant in Chicago, IL is $174,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,600.00 and $205,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Python Quant jobs in Chicago, IL? The most popular types of Python Quant jobs in Chicago, IL are:
Freelance Python Quant jobs near you

Econometrics Instructor

Alignerr

Chicago, IL • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Econometrics Instructor (AI Training) About the Role We're looking for experienced econometrics instructors and quantitative economists to help shape the next generation of AI. Your expertise will directly influence how AI systems reason through statistical models, causal inference, and economic data - making a real and lasting impact on how these tools serve researchers, students, and professionals worldwide. This is a fully remote, flexible contract role where you set your own schedule and work on your own terms.
  • Organization : Alignerr (Powered by Labelbox)
  • Type : Hourly / Task-based 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 outputs for clarity and correctness
  • Apply your real-world teaching experience to evaluate how well concepts are communicated to diverse audiences
  • Work independently and asynchronously to complete task-based assignments on your own schedule
Who You Are
  • 3+ years of experience teaching econometrics or quantitative economics at a college or university level
  • Strong command of regression analysis, causal inference, and applied statistical methods
  • Able to clearly evaluate and explain quantitative reasoning in written form
  • Comfortable reviewing structured, technical content with precision and consistency
  • Self-motivated and reliable in an asynchronous remote environment
Nice to Have
  • Master's or PhD in Economics, Statistics, or a related quantitative field
  • Proficiency in statistical tools such as R, Stata, or Python
  • Prior experience with AI evaluation, data annotation, or model training workflows
Why Join Us
  • Work on cutting-edge AI projects with top research labs shaping the future of machine intelligence
  • Fully remote and flexible - work when and where it suits you
  • Freelance perks: autonomy, variety, and collaboration with experts across the globe
  • Unique opportunity to see how large language models are trained and evaluated firsthand
  • Potential for ongoing work and contract extension based on performance

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