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

CNTXT AI
Riyadh, KSA
Full-time
Entry
Onsite
Discovered 2 days ago
Arabic language and editingEnglish proficiency (minimum C1, reading and writing)Modern Standard Arabic and at least one dialectAI data annotationLLM response evaluationPrompt and response writing

Full Job Posting

Position summary

Fully remote, hourly contractor role supporting AI data and language projects on a flexible, project-based basis.

Project scopes may include annotation, LLM evaluation, content generation, and localization QA.

Applies senior-level Arabic localization and translation judgment alongside minimum C1 English proficiency.

Project work

  • Label, classify, and structure documents, tables, and other content for AI training datasets.
  • Review AI-generated responses for accuracy, reasoning quality, coherence, and cultural and linguistic appropriateness.
  • Write prompts and model responses to guide AI learning across diverse topics.
  • Check terminology, tone, cultural nuance, and locale-specific details such as units, references, names, and dates.

Profile requirements

  • Bachelor's degree or higher in Translation, Linguistics, Localization, Communications, or a related field.
  • Native or near-native Arabic, with strong writing and editing across Modern Standard Arabic and at least one dialect.
  • Minimum C1 English proficiency in reading and writing.
  • Excellent judgment in register, tone, punctuation, inclusivity, cultural nuance, and detail.
  • Able to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors and explain corrections clearly.
  • Able to fact-check localized content using reliable sources and consistent reasoning.
  • Able to identify reasoning gaps, methodological errors, and unclear explanations.
  • Reliable and self-directed, with consistent quality, clear communication, and responsiveness across time zones.

Preferred experience

  • Professional localization or translation experience is preferred.
  • Familiarity with MQM/LQA concepts is preferred.
  • CAT tools and QA workflows, including translation memory, termbases, and automated checks, are preferred.
  • Previous AI data training, annotation, or evaluation experience is preferred.

About CNTXT AI

Builds AI products and data solutions focused on accurate, safe, globally relevant AI.

Work includes data services, custom AI solutions, and proprietary AI products, with expertise in Arabic-native and secure, sovereign solutions.

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