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AI Data Strategy Engineer / Applied Scientist, LLM Data

Skills
Computer ScienceCuratingData StrategiesECSGlueIdentity And Access ManagementLabels
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Bachelor’s degree in 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

Nice to have

  • Multilingual mindset
  • Detail oriented
  • Cross-functional collaborator
  • Data quality focus
  • Problem solving

Day to day

  • Own the end-to-end data strategy for multilingual and multimodal AI systems
  • Build scalable dataset curation pipelines for training post-training and evaluation data
  • Design annotation schemas QA rubrics golden datasets and reviewer workflows to improve model performance