Localization jobs

Experienced AI Specialist on contract basis to design and deliver an AI-powered, voice-enabled chatbot solution.

Part-time student research role at LILT (AI-native translation company) focused on evaluating and benchmarking frontier LLMs and autonomous agents for multilingual tasks. Responsibilities include stress-testing AI models, creating benchmark datasets, and running experiments to identify model limitations. Requires strong Python/ML fundamentals and enrollment in Computer Science or related field at TU Berlin.

Senior Data Engineer at WeLo­calize responsible for designing and maintaining data infrastructure powering AI/ML product features. Hands-on technical contributor building ETL pipelines, architecting production APIs, and managing analytics-ready data warehouses. Requires 4–6 years data engineering experience, advanced Python/SQL, AWS expertise (Redshift, S3, Lambda), and mentorship capabilities.

Research Engineer focused on machine translation quality and real-time simultaneous interpretation. Owns translation quality end-to-end across language pairs and drives fundamental research challenges in the MT/interpretation space. Senior-level role combining technical direction-setting with hands-on modeling work.

ML engineer to develop and improve the state-of-the-art voice cloning and dubbing technology.

Machine learning engineer writing production code for a content verification system used by major companies. Works closely with founders and full-stack engineers on real-world applications.

Applied Reinforcement Learning Engineer at Centific, a frontier AI data foundry. This is a highly technical, senior-level role focused on designing and building RL environments for enterprise workflows, post-training LLM-based agents, and translating cutting-edge RL research into production systems. Requires 3+ years of hands-on RL expertise, LLM post-training experience, and strong software engineering skills. Located in Palo Alto, CA or Seattle, WA with hybrid/remote flexibility.