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Alignerr

Econometrics Instructor

London
$35 – $70/hr
Posted about 11 hours ago
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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 understand, reason through, and explain complex economic models and statistical methods — work that matters at a foundational level.

This is a fully remote, flexible contract role. You set your schedule and work at your own pace.

Organization: Alignerr (Powered by Labelbox)
Type: Hourly / Task-based Contract
Location: Remote
Commitment: 10–40 hours/week

What You'll Do

  • Review and validate AI-generated econometric questions, models, and explanations used in training
  • Assess statistical accuracy, underlying assumptions, and interpretation of quantitative results
  • Identify errors, edge cases, and logical gaps in AI-generated economic reasoning
  • Provide clear, structured feedback to improve model quality and explanatory depth
  • Apply your real-world teaching experience to evaluate how well AI communicates complex concepts
  • Work independently and asynchronously on task-based assignments

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Who You Are

  • 3+ years of experience teaching econometrics or quantitative economics at any level
  • Strong command of regression analysis, causal inference, and core statistical methods
  • Ability to evaluate and explain quantitative reasoning clearly and precisely
  • Comfortable reviewing structured, technical content against established standards
  • Self-motivated and reliable — able to manage your own time and meet deadlines

Nice to Have

  • Master's or PhD in Economics, Statistics, or a related field
  • Hands-on experience with statistical tools such as R, Stata, or Python
  • Familiarity with AI systems, LLMs, or model evaluation workflows

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Why Join Us

  • Work on cutting-edge AI — contribute to projects with real impact on how AI understands economics and data
  • Fully remote and flexible — work when and where it suits you, on your own schedule
  • Freelance autonomy — no micromanagement, no rigid hours, just meaningful work on your terms
  • Exposure to advanced AI — gain rare, hands-on insight into how large language models are trained and evaluated
  • Global collaboration — connect with a distributed team of experts across disciplines
  • Potential for ongoing work — strong contributors are considered for contract extensions and future projects
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Skills

Econometrics
Quantitative Economics
Regression Analysis
Causal Inference
Statistical Methods
Statistical Accuracy
Quantitative Reasoning
Feedback
Teaching Experience
AI Systems
Model Evaluation
R
Stata
Python
Logical Gaps
Error Identification

Location

London, England, United Kingdom

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