Arabic/English Bilingual AI Data Annotator & Evaluator (Remote, Hourly Contractor)
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Key skills for this role
About the Role
CNTXT AI seeks a remote, hourly contractor for AI data annotation, LLM evaluation, content generation, and localization QA. Requires native Arabic proficiency, C1 English, and a bachelor's degree in a related field.
Key Skills for This Role
Responsibilities
- Label, classify, and structure documents, tables, and other content to support AI training datasets
- Review AI generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness
- Write high quality prompts and model responses to guide AI learning across diverse topics
- Ensure terminology, tone, cultural nuance, and locale specific details are consistently accurate across outputs
Requirements
- Bachelor's degree or higher in Translation, Linguistics, Localization, Communications, or a related field
- Native or near native Arabic proficiency with strong writing and editing skills across Modern Standard Arabic and at least one dialect
- Minimum C1 English proficiency (reading/writing)
- Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance
- Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors
- Ability to rigorously fact check localized content using reliable sources
- Reliable, self directed, and able to deliver consistent quality with clear communication
Full Job Posting
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, LLM evaluation, content generation, and localization QA.
Responsibilities
- 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 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.
Profile Requirements
- Bachelor's degree or higher in Translation, Linguistics, Localization, Communications, or a related field.
- Native or near native Arabic proficiency with strong writing and editing skills across Modern Standard Arabic and at least one dialect.
- 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.
- Familiarity with MQM/LQA concepts (severity, category, and root cause thinking) for consistent quality decisions.
- Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks).
- Previous experience with AI data training, annotation, or evaluation.
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