Remote LLM Trainer (Agent Completion Tasks)

About the role

Turing is seeking a Remote LLM Trainer to help foundational large language model companies improve their systems. You will generate high‑quality multi‑turn conversations that simulate real interactions between users and AI assistants equipped with function‑calling tools.

Key responsibilities

• Design multi‑turn dialogues that reflect realistic user‑assistant exchanges using tools such as calendar, email, maps, and drive.
• Play both the user and the assistant, including accurate tool‑call simulations when corrections are needed.
• Select appropriate moments for tool usage, ensuring logical flow and correct function calls.
• Produce conversations that showcase natural language, intelligent behavior, and contextual understanding across several turns.
• Generate examples that demonstrate task completion, recognition of infeasible requests, and engaging small‑talk when tools are unnecessary.
• Follow strict formatting and quality guidelines outlined in an internal playbook.
• Iterate on examples based on reviewer feedback to improve realism and clarity.
• Collaborate with peers and reviewers to maintain consistency and high standards.

Required profile

• 3+ years of professional experience in a technical or analytical field.
• Experience with any programming language or tech stack; strong grasp of APIs and data formats (e.g., JSON).
• Excellent logical and technical reasoning abilities.
• Ability to break down complex tasks and model realistic assistant behavior.
• Strong written communication skills.

Required skills

• Programming (any language)
• APIs
• JSON data format