Applied Scientist/Research Engineer, LLM Training Data

Applied Scientist/Research Engineer, LLM Training DataOwn Your Impact. At Propio, we don't believe careers happen to people. We believe people create them.Here, you're trusted to make decisions, challenge assumptions, drive innovation, and shape outcomes. Your success is not limited by hierarchy or tenure. It's fueled by your ambition, your curiosity, and your willingness to own your impact. If you're looking for a role where you can simply maintain the status quo, this probably isn't it, but if you're looking for a place where your ideas matter, your growth is accelerated, and your work creates meaningful impact across the world, we'd love to talk.Every day, communication changes lives. A patient receives care they otherwise couldn't access. A family gains critical information. A business connects with a customer. A community becomes more inclusive. These moments happen because barriers are removed. And behind those moments are Propio team members who show up every day to solve problems, innovate, and build the future. This isn't just work. This is world impact.As an Applied Scientist/Research Engineer, LLM Training Data, you'll have the opportunity to make a meaningful contribution to the continued growth and transformation of Propio.You'll be empowered to:Take ownership of important initiatives and outcomes.Drive meaningful business results.Influence decisions and contribute new ideas.Partner with talented, high-performing team members.Challenge yourself through continuous learning and growth.Help shape the future of a rapidly growing organizationWhat You'll OwnAs an Applied Scientist/Research Engineer, LLM Training Data, you will 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 LLM 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.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 multilingual, speech, translation, and vision data.Build evaluation datasets and benchmarks, analyze model failure modes, and translate performance gaps into targeted data improvements.Support post-training data workflows such as SFT, instruction tuning, preference data, RLHF/DPO-style data, reward model data, and synthetic data generation.Use modern annotation tools and AWS-based data infrastructure to scale secure, traceable, and compliant AI data workflows.What Makes Someone Successful HereThe most successful people at Propio aren't necessarily the ones with the longest resumes. They're the people who:Take ownership instead of waiting for direction.Embrace challenges as opportunities to grow.Continuously seek better ways of working.Turn ideas into action.Hold themselves and others accountable to high standards.Are driven by making a measurable impact.RequirementsWhat You'll BringRequired Qualifications:Master's degree in Computer Science, Machine Learning, Data Science, Computational Linguistics, Linguistics, Statistics, or a related field, or equivalent practical experience.4+ years of experience in AI data, ML data operations, NLP data engineering, applied ML, speech/translation data, or LLM data workflows.Strong hands-on experience with Python, SQL, and dataset curation pipelines.Experience with annotation workflows, QA rubrics, evaluation datasets, or human-in-the-loop data processes.Familiarity with multilingual NLP, speech data, translation data, low-resource languages, conversational AI, or agentic AI datasets.Working knowledge of AWS data and ML tools such as S3, Glue, SageMaker, Bedrock, Lambda, Step Functions, EKS/ECS, IAM, or KMS.Strong communication skills and ability to work with ML engineers, applied scientists, product teams, linguists, data teams, and vendors.Preferred Qualifications:PhD in Computer Science, Machine Learning, NLP, Computational Linguistics, Data Science, Statistics, or a related field.Experience with LLM post-training workflows such as SFT, instruction tuning, preference data, RLHF, DPO, reward modeling, or evaluation data generation.Experience with synthetic data generation, active learning, weak supervision, LLM-as-judge workflows, or automated data quality scoring.Experience with modern annotation and data platforms such as Labelbox, Scale AI, Prodigy, Argilla, Snorkel, Humanloop, or custom internal tooling.Even if your experience doesn't perfectly match every qualification, we encourage you to apply. We're looking for potential, drive, and a commitment to growth as much as experience.What You'll GainOwn Your Growth: We invest in people who invest in themselves. You'll have opportunities to learn, develop, and expand your capabilities while building a meaningful career.Own Your Impact: You'll see the connection between your work and our success. We believe great people deserve the opportunity to make a real difference.Own Your Innovation: The best ideas can come from anywhere. We encourage curiosity, creativity, and challenging the way things have always been done.Own Your Success: Whether you're building expertise, pursuing leadership opportunities, or expanding your career path, we'll give you room to grow and the support to get there.At Propio, your work doesn't just move a company forward. It helps connect people, communities, and opportunities across the world. Ready to Build Something Bigger? Apply today and discover what happens when you own your success.