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 create 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 mimic real user‑assistant interactions using tools such as calendar, email, maps, and drive.
• Play both the user and the assistant, including realistic tool‑call sequences 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 general chat when tools are not required.
• 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 to maintain consistency and high standards.

Required profile

• Minimum 3 years of professional experience in a technical or analytical role.
• Strong logical reasoning and ability to model real‑world assistant behavior.
• Excellent written communication skills.

Required skills

• Proficiency in any programming language.
• Experience with APIs and function‑calling interfaces.
• Familiarity with JSON data formats.