AI Data Strategy Engineer / Applied Scientist, LLM Data

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78illu

ppDescription /p pPropio 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. /p pWe are building AI‑powered systems that enhance multilingual communication, improve interpreter workflows, and support next‑generation AI applications across text, speech, and multimodal experiences. /p pPropio is hiring an bAI Data Strategy Engineer / Applied Scientist, LLM Data /b to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI systems. /p pThis 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. /p pThe 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. /p h3Key Responsibilities /h3 ul liDefine the end‑to‑end data roadmap for multilingual and multimodal AI systems, including text, speech, translation, interpretation, low‑resource languages, and agentic AI workflows. /li liDesign and build dataset curation pipelines for training, post‑training, and evaluation, including cleaning, deduplication, filtering, PII redaction, quality scoring, sampling, balancing, and versioning. /li liCreate annotation schemas, labeling guidelines, QA rubrics, golden datasets, and reviewer workflows for multilingual, speech,



translation, and agentic AI data. /li liBuild evaluation datasets and benchmarks, analyze model failure modes, and translate performance gaps into targeted data improvements. /li liSupport post‑training data workflows such as SFT, instruction tuning, preference data, RLHF/DPO‑style data, reward model data, and synthetic data generation. /li liUse modern annotation tools and AWS‑based data infrastructure to scale secure, traceable, and compliant AI data workflows. /li /ul h3Requirements /h3 ul liBachelor’s degree in Computer Science, Machine Learning, Data Science, Computational Linguistics, Linguistics, Statistics, or a related field, or equivalent practical experience. /li li4+ years of experience in AI data, ML data operations, NLP data engineering, applied ML, speech/translation data, or LLM data workflows. /li liStrong hands‑on experience with Python, SQL, and dataset curation pipelines. /li liExperience with annotation workflows, QA rubrics, evaluation datasets, or human‑in‑the‑loop data processes. /li liFamiliarity with multilingual NLP, speech data, translation data, low‑resource languages, conversational AI, or agentic AI datasets. /li liWorking knowledge of AWS data and ML tools such as S3, Glue, SageMaker, Bedrock, Lambda, Step Functions, EKS/ECS, IAM, or KMS. /li liStrong communication skills and ability to work with ML engineers, applied scientists, product teams, linguists, data teams, and vendors. /li /ul h3Preferred Qualifications /h3 ul liMaster’s or PhD in Computer Science, Machine Learning, NLP, Computational Linguistics, Data Science, Statistics, or a related field. /li liExperience with LLM post‑training workflows such as SFT, instruction tuning, preference data, RLHF, DPO, reward modeling, or evaluation data generation. /li liExperience with synthetic data generation, active learning, weak supervision, LLM‑as‑judge workflows, or automated data quality scoring. /li liExperience with modern annotation and data platforms such as Labelbox, Scale AI, Prodigy, Argilla, Snorkel, Humanloop, or custom internal tooling. /li /ul /p #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78illu