To engineer the next generation of AI-Assisted Human Annotation Systems . Our goal is to scale the production of high-quality, personalized, and safety-aligned datasets.
Key Responsibilities
Participate in the customer solution - making process and provide guidance on data services;
Design and develop Agent-Assisted Annotation Workflows;
Build Automated Quality Evaluation Frameworks;
Synthetic Data Generation (SDG) Pipeline;
RAG & Fact-Checking Integration.
Requirements
Tech Stack : Mastery of Python; deep experience with LangChain, LlamaIndex , or custom Agent frameworks.
Data Operations : Familiarity with RLHF data formats (SFT / DPO / PPO) and data versioning tools.
Mindset : A "Data-Centric AI" philosophy—you understand that code is static, but data is dynamic, and you build tools to manage that complexity.
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Lead Ai Engineer • Santa Rosa, CA, US
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