Job Details

Mission

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

1. Participate in the customer solution - making process and provide guidance on data services;
2. Design and develop Agent-Assisted Annotation Workflows;
3. Build Automated Quality Evaluation Frameworks;
4. Synthetic Data Generation (SDG) Pipeline;
5. RAG & Fact-Checking Integration.

Requirements

• Tech Stack: Mastery of Python; deep experience with LangChain, LlamaIndex, or custom Agent frameworks.
• LLM Engineering: Proven experience manipulating LLM APIs for complex tasks (chain-of-thought construction, few-shot prompting).
• 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.