Ai data strategy engineer

13 ago - Italia
Propio

Description Propio Language Services is a provider of the highest quality interpretation, translation, and localization services. Our people take pride in every resource we offer, and our users always have access to cutting‐edge technology, exceptional support, and collaborative user experiences. We are driven by our passion for innovation, growth, and bridging communication gaps in a diverse world. If you're passionate about delivering technology‐driven solutions and building lasting client relationships while contributing to client growth, Propio could be the ideal place for you. We are building AI‐powered systems that enhance multilingual communication, improve interpreter workflows, and support next‐generation AI applications across text, speech, and multimodal experiences. Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI systems. This is a hands‐on technical role for someone who understands how to manage the full AI data lifecycle,



from acquisition, curation, annotation, and quality control to evaluation datasets and post‐training data, to directly improve model performance. The ideal candidate can build scalable data pipelines, design high‐quality annotation and QA processes, identify model failure modes, and close performance gaps through targeted data acquisition, curation, and synthetic data generation. Key Responsibilities Define the end‐to‐end data roadmap for multilingual and multimodal AI systems, including text, speech, translation, interpretation, low‐resource languages, and agentic AI workflows. Design and build dataset curation pipelines for training, post‐training, and evaluation, including cleaning, deduplication, filtering, PII redaction, quality scoring, sampling, balancing, and versioning. Create annotation schemas, labeling guidelines, QA rubrics, golden datasets, and reviewer workflows for multi

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