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AI Language Placement Test Calibration Engineer

John Mueller

Full-time · Job · Lisbon

About the role

Have you ever wondered why a placement test puts one learner in an intermediate class and another with identical skills into beginner? That inconsistency is exactly what this role fixes. You'll calibrate the scoring models behind our placement tests, using response data from thousands of learners to make sure difficulty and skill mapping stay consistent across languages and test versions. You'll work closely with our curriculum team, who rely on your calibration to keep classes properly leveled.

Responsibilities

  • Analyze placement test response data to identify calibration drift
  • Build statistical models that keep scoring consistent across test versions
  • Partner with curriculum designers on difficulty mapping
  • Document calibration methodology for future test releases

Requirements

  • 1-3 years of experience with statistics or applied ML
  • Comfortable with scikit-learn and exploratory data analysis
  • Interest in psychometrics or educational measurement a plus
  • Strong written communication for cross-team documentation

Benefits

  • Fully remote position
  • Competitive salary
  • Health insurance
  • Learning stipend for language courses

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Categories

NLP & Prompt Engineering data science & analytics

Skills

python statistics scikit-learn pandas

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Job Type

Full-time

Level

Junior

Language

English

Salary Range

$60k – $80k / year

AI Expertise

NLP & Prompt Engineering data science & analytics

Skills

python statistics scikit-learn pandas

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