Remote Italian AI Data Annotator & Evaluator

CNTXT AI

Milano

In loco

EUR 27.552 - 48.216

Tempo pieno

14 giorni+

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Descrizione del lavoro

CNTXT AI is seeking a fully remote contractor to support AI data and language projects. You will apply senior-level Italian localization and translation judgment with minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistent.

Responsibilities include data annotation, LLM evaluation, content generation, and localization QA across diverse use cases. Strong attention to detail and ability to work across time zones are essential.

Competenze

  • Bachelor's degree or higher in Translation, Linguistics, Localization, or related field.
  • Native or near-native Italian with strong writing and editing skills.
  • Minimum C1 English for interpreting prompts and guidelines.
  • Excellent editorial judgment on tone, punctuation, inclusivity, and nuance.
  • Ability to identify drift, ambiguity, locale inconsistencies and explain corrections.

Mansioni

  • Data annotation: label, classify, and structure documents and content for AI training.
  • LLM evaluation: review responses for accuracy, reasoning, coherence, and cultural fit.
  • Content generation: write prompts/responses or record voice samples for model learning.
  • Localization QA: ensure terminology, tone, and locale details are accurate across outputs.

Conoscenze

Italian localization
English proficiency
Editorial judgment
Attention to detail
Fact-checking
Cross-time zones communication
Self-directed

Formazione

Bachelor's degree or higher in Translation/Localization

Strumenti

CAT tools
QA workflows
MQM/LQA concepts

Descrizione del lavoro

CNTXT AI is seeking a fully remote contractor to support AI data and language projects. You will apply senior-level Italian localization and translation judgment with minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistent.

Responsibilities include data annotation, LLM evaluation, content generation, and localization QA across diverse use cases. Strong attention to detail and ability to work across time zones are essential.

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