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Text Normalization Evaluation Specialist (Catalan-Spain)

Thoth AI

Linguistic Annotation (AI) Full-time
Remote (Global) October 29, 2026

Job description

Text Normalization Evaluation Specialist

Freelance

Project Overview

We are seeking detail-oriented Text Normalization Evaluation Specialist to support a short-term Text Normalization (TN) evaluation project. The role involves reviewing and evaluating text normalization outputs that convert numbers, symbols, abbreviations, dates, units of measurement, and other written expressions into forms that can be read naturally in the target language.

Key Responsibilities

  • Text Evaluation: Compare original text with normalized output and assess correctness, accuracy, and naturalness based on annotation guidelines.
  •  Annotation Execution: Apply required labels accurately and consistently to assigned tasks.
  • Error Identification: Detect incorrect readings, omissions, additions, and normalization errors involving numbers, symbols, abbreviations, dates, and units.
  •  Issue Reporting: Document identified errors and provide suggested corrections when required.
  • Quality & Consistency: Follow project guidelines strictly and maintain high annotation quality standards.
  • Feedback & Communication: Escalate unclear cases and provide feedback to the project team where necessary.
  • Productivity Management: Deliver assigned tasks within agreed timelines while maintaining quality benchmarks.

Mandatory Requirements

  • Native speaker of the target language, or minimum CEFR C1 proficiency.
  • Strong understanding of grammar, vocabulary, pronunciation, and common reading conventions.
  • Ability to accurately understand and strictly follow labeling and annotation guidelines.
  • Excellent attention to detail with the ability to identify subtle language differences.
  • Careful, patient, and highly responsible when handling repetitive tasks.
  • Ability to document issues clearly and provide constructive feedback.
  • Capable of maintaining consistent performance and quality in repetitive labeling work.
  • Ability to work independently and commit approximately 20–30 hours per week during the project period.
  • Reliable internet connection and suitable remote working environment.
  • Ability to properly record and report encountered issues.

Preferred Qualifications

  • Experience in linguistic annotation, data labeling, proofreading, transcription, QA, or related fields.
  • Experience with language data, NLP, speech technology, AI training, or evaluation projects.
  • Familiarity with annotation tools, spreadsheets, and online collaboration platforms.
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