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AI Grammar Correction Engine Developer

John Mueller

Part-time · Job · Berlin

About the role

Grammar correction tools work well for native English speakers making typos. They work terribly for non-native speakers whose errors reflect L1 interference patterns — a German speaker confuses prepositions differently than a Japanese speaker, and generic correction models don't understand these systematic patterns. This part-time role (15-20h/week) focuses on building evaluation datasets for L1-specific grammar correction: collecting error examples organized by source language and error type, scoring model corrections against expert annotations, and analyzing where current models fail for specific language backgrounds. You'll develop expertise in computational linguistics and error analysis — understanding not just what errors people make, but why they make them based on their native language structure. This knowledge is valuable in any NLP role and deeply rewarding for anyone interested in how languages interact.

Responsibilities

  • Build evaluation datasets organized by source language and error type
  • Score grammar model corrections against expert linguist annotations
  • Analyze model failure patterns for specific L1 language backgrounds
  • Document systematic L1 interference patterns in English writing
  • Recommend model improvements targeting identified weakness areas

Requirements

  • Python proficiency for data analysis
  • Interest in linguistics and second language acquisition
  • Strong attention to grammatical detail
  • Basic understanding of NLP concepts
  • Available for 15-20 hours/week

Benefits

  • Part-time (15-20h/week) with flexible scheduling
  • Fully remote — European time zones
  • Learn computational linguistics methodology
  • Option to expand to full-time

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Job Type

Part-time

Level

Junior

Language

English

Salary Range

Under $60k / year

AI Expertise

NLP & Prompt Engineering

Skills

python hugging face pandas sql

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