Welocalize is hiring Part-Time Linguistic QA Testers that speak Indonesian at native-level fluency. You will be an important part of the QA Testing process for emerging technology. Depending on the project, you could be testing never before seen apps/technology, e-courses, marketing materials, or any other interesting task that comes your way. Attention to detail is a must! If you are technologically savvy and speak Indonesian at native-level fluency, then this is the opportunity for you!Job information:
Job Title: Part-Time Linguistic QA Tester Location: Remote (must be based in the United States) Hourly Rate: $25+ (Negotiable based on experience) Hours: Part Time (Hours vary based on project need and demand) Start date: TBD Employment Type: Freelance/Independent Contract or W2 EmployeePlease note that this work is part time depending on project need. Due to this, hours will vary and flexibility with a changing schedule is very important. Requirements
Native-level fluency in Indonesian (Linguistic competency in target language equal to the following: ILR Level 5 or CEF C2)
Must be based in the United States
Excellent written/verbal communication in English (for bug reporting purposes)
Up-to-date awareness of current and common technical language usage in the target language
Strong practical knowledge of computers and mobile devices
Ability to follow written testing instructions in English
Localization QA experience is preferred
Knowledge of common technological terms in English and target language
Flexibility with varying hours
Welo Global, through its Welo Data brand, is a multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. The company delivers human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts at every stage from training through deployment. With a global network of 500,000+ vetted experts spanning 300+ languages and locales, Welo Data enables high-quality multilingual data creation and structured model evaluation across modern AI applications including large language models, voice and speech systems, agentic workflows, and robotics. The company addresses critical AI development challenges including safety, bias, inclusivity, and cross-lingual reliability through specialized program and quality expertise, supported by NIMO™, their proprietary identity and fraud-prevention framework.
