Remote LLM Trainer - Agent Function call

About the role

We are looking for a Remote LLM Trainer to create high‑quality multi‑turn conversations that showcase how an AI assistant can use function‑calling tools to accomplish user goals. You will work on a project supporting a leading foundational large language model company, providing proprietary data for fine‑tuning and evaluation.

Key responsibilities

• Design realistic multi‑turn dialogues between a user and an AI assistant that utilizes tools such as calendar, email, maps, and drive.
• Play both the user and the assistant, inserting tool‑call actions only when necessary and correcting them as required.
• Ensure conversations follow the internal formatting and quality playbook.
• Iterate on examples based on reviewer feedback to improve realism and clarity.
• Collaborate with peers to maintain consistency and high standards across all deliverables.

Required profile

• Strong technical reasoning and ability to model real‑world assistant behavior using tool‑based APIs.
• Capability to break down complex tasks into clear, step‑by‑step dialogues.
• Excellent written English with focus on clarity, tone, and instructional coherence.

Required skills

• Proficiency with APIs.
• Familiarity with JSON data format.