LLM Trainer - Agent Function call

About this opportunity

Turing is seeking an LLM Trainer to create realistic multi-turn conversations between users and AI assistants that interact with tools such as calendar, email, maps, and drive. The role involves simulating both sides of the conversation, modeling appropriate function calls, designing realistic reasoning scenarios, and producing structured training data for fine-tuning and evaluating advanced language models.

What the listing describes

• ✓Design multi-turn conversations that simulate realistic interactions between users and AI assistants using tools such as calendar, email, maps, and drive
• ✓Emulate both the user and the assistant within training conversations
• ✓Simulate assistant tool calls when needed to correct or complete the interaction
• ✓Determine when and how available tools should be used while maintaining logical conversational flow
• ✓Craft dialogues that demonstrate natural language, intelligent behavior, and contextual understanding across multiple turns
• ✓Create examples showing how assistants complete feasible tasks, recognize infeasible tasks, and handle general conversation when tools are unnecessary
• ✓Follow defined formatting, quality, and internal playbook guidelines
• ✓Revise conversation examples based on feedback to improve realism, clarity, and training value
• ✓Collaborate with peers and reviewers to maintain consistency and quality across deliverables

Requirements shown on the source

• ✓Strong general technical reasoning skills
• ✓Ability to model real-world AI assistant behavior using tool-based APIs
• ✓Ability to break down complex tasks and create realistic dialogues that reflect user expectations and assistant limitations
• ✓Experience with any programming language or technical stack
• ✓Strong understanding of APIs and structured data formats such as JSON
• ✓Strong logical and analytical thinking skills
• ✓Excellent written communication skills in English
• ✓Ability to write clearly and maintain appropriate tone and instructional coherence
• ✓Creativity and strong attention to detail when designing realistic scenarios
• ✓Ability to follow detailed guidelines and formatting standards consistently
• ✓At least 3 years of professional experience in a technical or analytical field
• ✓Available for at least 4 hours per day and a minimum of 20 hours per week
• ✓Able to provide 4 hours of overlap with PST working hours

Relevant backgrounds mentioned

• ✓Experience working with Large Language Models
• ✓Experience with virtual assistants
• ✓Experience with function-calling frameworks