LLM Trainer - Agent Function call
Job summary
This position is within a project with one of the foundational LLM companies. The goal is to assist these foundational LLM companies in enhancing their Large Language Models.
Job descriptions & requirements
- Design multi-turn conversations that simulate real interactions between users and AI assistants using apps like calendar, email, maps, and drive.
- Emulate both the user and the assistant, including the assistant's tool calls (only when corrections are needed).
- Carefully select when and how the assistant uses available tools, ensuring logical flow and proper usage of function calls.
- Craft dialogues that demonstrate natural language, intelligent behavior, and contextual understanding across multiple turns.
- Generate examples that showcase the assistant’s ability to gracefully complete feasible tasks, recognize infeasible ones, and maintain engaging general chat when tools aren’t required.
- Ensure all conversations adhere to defined formatting and quality guidelines, using an internal playbook.
- Iterate on conversation examples based on feedback to continuously improve realism, clarity, and value for training purposes.
- Collaborate with peers and reviewers to maintain consistency and high standards in deliverables.
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