Alpheratz Project - Burmese Translation Quality Reviewer
About the role
We are looking for experienced language professionals to support an ongoing project focused on reviewing and refining Burmese customer service content. This role involves improving machine-translated materials to ensure accuracy, natural language, and alignment with project guidelines.
What you’ll do
Conduct second-pass quality reviews to ensure overall linguistic accuracy and consistency across batches.
Validate and calibrate severity assessments to maintain alignment with quality standards.
Identify systemic MT quality issues, including recurring error patterns, tone mismatches, and terminology inconsistencies.
Provide high-level qualitative feedback that directly contributes to final quality reporting and continuous improvement efforts.
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.
- Excellent attention to detail and a quality-focused, analytical mindset.
- Ability to work independently and provide clear, actionable quality feedback.
Where you can work
This role is 100% remote, for applicants located in India and Thailand.
From Welo Data's job posting, checked Oct 26, 2026.
The application
Your details and CV, then 6 questions (3 written).
- 1.Which location are you applying for?Pick one
- 2.This project does not have guaranteed weekly hours and volumes may vary. Are you comfortable with this level of flexibility?Yes or no · optional
- 3.How many years of translation/Language QA review experience do you have?Pick one: None · 1 year or more · 2 years or more
- 4.Do you have experience working with CAT tools? If so, would you be able to list the tools you have used?Written answer
- 5.Mention your current Country?Written answer · optional
- 6.Also, Mention your city NameWritten answer · optional
From Welo Data's apply page, checked Oct 26, 2026.
About Welo Data
Welocalize's AI-data community: annotation, evaluation, red-teaming, and multilingual work.
How it pays: Tasks go on purchase orders, by default one a week, that you invoice in Workday; Welo Data invoices are paid 14 days after receipt, into Hyperwallet. US raters are part-time W-2 employees (Welocalize talent help center, Payment Terms).
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