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Hire Feed is seeking an LLM Trainer focused on Agent Function calls to create high-quality proprietary data for fine-tuning and evaluation. The role involves simulating multi-turn conversations where AI assistants use function-calling tools to accomplish user goals.
Designing realistic interactions, emulating both user and assistant roles, and iterating on examples are key parts of this opportunity with a global technology leader in AI development.
We are hiring for one of our clients, seeking a LLM Trainer - Agent Function call to enhance large language models by generating high-quality proprietary data for fine-tuning and evaluation. The role involves simulating multi-turn conversations where AI assistants use function-calling tools to accomplish user goals.
This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement of frontier AI model capabilities.
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.