Remote Bilingual AI Trainer & QA (Arabic/English)

DataAnnotation; United Arab Emirates; Remote; AED 126,000 - 202,000; Full time

Benefits offered by this job

Flexible hours

Work from home

Pay via PayPal

Job summary

DataAnnotation seeks an experienced bilingual professional fluent in Arabic and English to train AI models on realistic tasks drawn from your language expertise. You will judge model outputs with a native speaker’s ear and identify where they falter, helping shape multilingual AI systems.

You will write prompts, evaluate responses, and critique translations and conversations, contributing across diverse language tasks from education to business contexts.

Qualifications

• Native or near-native fluency in Arabic and English.
• Strong command of grammar, style, tone and register in both languages.
• Detail-oriented with ability to explain judgments clearly in writing.
• Experience in translation, interpretation, teaching, editing or bilingual work is a plus.
• Bachelor's degree preferred but not required.

Responsibilities

• Write challenging, realistic prompts and conversations in Arabic and English, drawn from your own experience.
• Evaluate AI responses for accuracy, fluency, grammar, tone, register and whether it followed the request.
• Compare two AI responses to the same prompt and decide which performed better and where they fell short.
• Critique AI-generated translations, conversations, summaries and content with clear reasoning.
• Flag concrete failures with evidence such as mistranslations or cultural missteps.
• Contribute across a wide range of language tasks and subject areas.

Skills

Arabic English fluency

Education

Bachelor's degree

Job description

DataAnnotation seeks an experienced bilingual professional fluent in Arabic and English to train AI models on realistic tasks drawn from your language expertise. You will judge model outputs with a native speaker’s ear and identify where they falter, helping shape multilingual AI systems.

You will write prompts, evaluate responses, and critique translations and conversations, contributing across diverse language tasks from education to business contexts.