We are looking for experienced language professionals to support an ongoing project focused on reviewing and refining Arabic (UAE) customer service content. This role involves improving machine-translated materials to ensure accuracy, natural language, and alignment with project guidelines.What you’ll do
Review and refine machine-translated customer service content (help articles, UI strings, internal support documentation)Ensure accuracy, clarity, tone, and contextual appropriateness in Arabic (UAE)Maintain consistency across terminology, style, and meaningApply feedback to support continuous quality improvementComplete tasks within a Translation Management System (TMS)Communicate with Project Managers as needed to clarify expectationsProject details
Language: Arabic (UAE)Content type: Customer service content (general)Project duration: OngoingThis role involves intermittent work, with tasks assigned on an ad hoc basis throughout the year depending on client needs. Volumes and timing may vary.Hourly rate: $28.36Requirements
Native proficiency in Arabic (UAE) and strong English skills
Experience in translation, localization, or translation quality review
Strong attention to detail and a quality-focused mindset
Ability to work independently in an online environment
Previous experience working in a TMS is a plus
Successful completion of required assessments
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.
