Support an ongoing project focused on reviewing and refining Burmese customer service content.
Improve machine-translated materials to ensure accuracy, natural language, and alignment with guidelines.

Responsibilities:

Perform second-pass quality reviews of translated content batches.
Identify recurring error patterns, tone mismatches, and terminology inconsistencies.
Provide high-level qualitative feedback for final quality reporting.

Requirements:

Native proficiency in Burmese language and strong English skills.
Experience in linguistic quality review, MT evaluation, or localization quality assurance.
Strong familiarity with linguistic QA frameworks and error classification.

Welo Data

Welo Data provides AI services including data annotation, linguistic quality review, and evaluation for machine learning models. They support global remote projects with a focus on improving AI outputs through human expertise.

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