Hiring: LLM Trainer – Agent Function Call (Remote / Global Contractor)Turing is sourcing developers and technical analysts to work on agent completion and function-calling evaluation for leading foundational AI models.The Role: Simulate complex, multi-turn dialogues between users and AI agents. You will model tool usage and function calling across real-world tools (APIs, calendar, maps, email, drive) to train and benchmark frontier LLMs.Simulate complex, multi-turn dialogues between users and AI agents.Model tool usage and function calling across real-world tools (APIs, calendar, maps, email, drive).Generate Agent Completion (AC) data for agent completion.Evaluate failure handling, task execution, and conversational edge cases.Generate fine-tuning and benchmark datasets for leading AI labs.Key Requirements:3+ years of technical or analytical experience.Solid understanding of APIs, data structures (JSON), and programmatic logic (Python, Java, or JavaScript preferred).High English proficiency with a focus on structured, coherent technical writing.Experience with agentic workflows or prompt engineering is a strong plus.Contract Details:Type: 6-week remote contractor engagement.Hours: Flexible tiers (20, 30, or 40 hrs/week) with a required 4-hour daily overlap with PST.Eligible Locations: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico.If you are interested, comment below or send me a DM for direct referral details.