Remote LLM Trainer – Agent Completion Tasks

About the role

Turing is seeking a Remote LLM Trainer to generate high‑quality multi‑turn conversation data for foundational large language model companies. You will simulate realistic interactions between users and AI assistants that use function‑calling tools, helping improve model fine‑tuning and evaluation.

Key responsibilities

• Design multi‑turn dialogues that mimic real user‑assistant interactions involving tools such as calendar, email, maps, and drive.
• Play both the user and the assistant, including appropriate tool‑call simulations and corrections.
• Select when and how the assistant uses tools to ensure logical flow and correct function calls.
• Produce dialogues that showcase natural language, intelligent behavior, and contextual understanding across multiple turns.
• Follow strict formatting and quality guidelines using 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.
• Strong grasp of APIs, data formats (e.g., JSON), and logical problem‑solving.
• Excellent written communication skills and ability to model real‑world assistant behavior.
• Capability to break down complex tasks and simulate realistic dialogues.

Required skills

• Proficiency with at least one programming language.
• Experience working with APIs.
• Familiarity with JSON data structures.

What we offer

• Opportunity to contribute to cutting‑edge AI model development.
• Fully remote work arrangement.
• Collaboration with leading AI research teams.