Teams at WeLocalize

Localize, translate, adapt, write, copy-edit, and fact-check multimedia content for music, television, apps, video, and games. Conduct linguistic reviews, localization QA testing, transcription, market research, terminology management, and cultural assessments. Create training materials, identify content issues, and collaborate with global localization teams to maintain accurate, culturally relevant language content.

Updates machine learning training and test datasets, refines annotation guidelines, initiates model training, and evaluates model performance. The role annotates synthetic text and image data, conducts manual quality analysis, identifies error patterns, reports anomalies, and produces findings on utterance quality, LLM evaluation, ASR bugs, and customer pain points. It also applies basic NLP and linguistic knowledge to ensure data accuracy and consistency.

Leads technical and writing teams delivering generative AI products, coordinating customers, data, product, and research teams. Tracks annotator metrics, manages labeling initiatives, creates prompts and responses, develops stakeholder guidelines, and trains teams on LLM and dataset best practices. The role includes customer interaction, quality assurance, and exposure to potentially toxic or sensitive content.