We are looking for experienced language professionals to support an ongoing project focused on reviewing and refining French (France) 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.Project details
Language: French (France)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: $Requirements
Native proficiency in French (France) 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.
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.
