Remote AI Language QA Evaluator (Greek/English)

Volga Partners; Pakistan; Remote; PKR 2,676,000 - 3,440,000; Full time

Job summary

Volga Partners is seeking an AI Language Quality Evaluator (Greek/English) for flexible, remote, task-based localization QA across UI and content. This freelance role offers on‑demand work with compensation of USD 7–9 per hour DOE and no guaranteed hours.

Onboarding via Deel is required, and candidates must have a Greek language certification. Responsibilities include reviewing AI outputs, identifying genuine bugs, and documenting corrections with clear, evidence-based notes.

Qualifications

• Professional fluency in Greek and English with strong reading comprehension.
• Bachelor’s degree in Linguistics, Computer Science, Languages, or related field.
• Degree or certification in Greek Language is required.

Responsibilities

• Review source and target text alongside AI‑flagged bug findings to assess accuracy.
• Determine whether identified issues represent genuine bugs and confirm the correctness of their category/type.
• Classify findings into categories such as correct, misclassified, partially correct, false positive, or missed.
• Verify flagged issues against screenshots to ensure accuracy in the visual UI context.
• Provide clear, evidence‑based error descriptions for valid bugs.
• Document explanations thoroughly and propose corrected translations where relevant.
• Maintain consistency, accuracy, and completeness across all evaluation datasets.

Skills

Greek-English fluency

Education

Bachelor’s degree in Linguistics, CS, Languages or related field

Degree or certification in Greek Language

Job description

Volga Partners is seeking an AI Language Quality Evaluator (Greek/English) for flexible, remote, task-based localization QA across UI and content. This freelance role offers on‑demand work with compensation of USD 7–9 per hour DOE and no guaranteed hours.

Onboarding via Deel is required, and candidates must have a Greek language certification. Responsibilities include reviewing AI outputs, identifying genuine bugs, and documenting corrections with clear, evidence-based notes.