Italian/English Bilingual AI Data Annotator & Evaluator (Remote, Hourly Contractor)

CNTXT AI; Lombardia; Remote; EUR 34,000 - 55,000; Full time

Job summary

CNTXT AI is seeking a senior-level Italian localization contractor to work remotely on AI data and language projects. You will apply native Italian localization, high editing standards, and strong English understanding to ensure accurate terminology and culturally appropriate outputs across tasks.

Projects include data annotation, LLM evaluation, content generation, and localization QA. You will review prompts, write model responses, and verify units, dates, and names for consistency, delivering

Qualifications

• Bachelor's degree or higher in translation, linguistics, localization, or related field.
• Native or near-native Italian proficiency with strong writing/editing skills.
• Minimum C1 English proficiency for interpreting prompts, source materials, and guidelines.
• Excellent editorial judgment in tone, punctuation, inclusivity, and cultural nuance.
• Ability to rigorously fact-check localized content using reliable sources and consistent reasoning.

Responsibilities

• Data annotation: labeling, classifying, and structuring documents and content for AI training datasets.
• LLM evaluation: review AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.
• Content generation: write prompts and model responses, or record voice samples for AI learning.
• Localization QA: ensure terminology, tone, and locale details are accurate across outputs.
• Apply senior-level Italian localization judgment alongside minimum C1 English proficiency to ensure nuance and accuracy across use cases.

Skills

Italian localization

English proficiency (C1)

Editorial judgment

Attention to detail

Cross-cultural communication

Education

Bachelor's degree in Translation/Linguistics/Localization or related field

Tools

CAT tools

QA tooling

Job description

Position Summary

This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis.

Project scopes vary and may include:

• Data annotation: labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.
• LLM evaluation: reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.
• Content generation: writing high-quality prompts and model responses, or recording high-quality voice samples, to guide AI learning across diverse topics.
• Localization QA: ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.

You will apply senior-level Italian localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.

Profile Requirements

• Bachelor's degree or higher, preferably in Translation, Linguistics, Localization, Communications, or a related field.
• Native or near-native Italian proficiency with strong writing and editing skills.
• Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.
• Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.
• Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.
• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
• Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.
• Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.

Preferred Experience

• Professional localization or translation experience.
• Previous experience with AI data training, annotation, or evaluation.
• Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.
• Familiarity with CAT tools and QA workflows.

About CNTXT AI

CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.