LLM Agent Trainer - Traditional Chinese Catonese

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. This opening is on behalf of one of our clients, and we’ll work closely with you to make the process clear and straightforward. Role Overview The client is venture-funded fast-growing startup that has built an AI-based platform designed to streamline administrative inefficiencies in healthcare. They are looking for people to help them with training of their foundational Large Language Model in specific languages in order to improve the performance by creating high-quality proprietary datasets used for two purposes: (1) fine-tuning and (2) rigorous evaluation/benchmarking of client and competitor models. Responsibilities Design multi-turn conversations that simulate real interactions between users and AI assistants using apps like calendar, email, maps, and drive. Emulate both the user and the assistant, including the assistant's tool calls (only when corrections are needed). Carefully select when and how the assistant uses available tools, ensuring logical flow and proper usage of function calls. Craft dialogues that demonstrate natural language, intelligent behavior, and contextual understanding across multiple turns. Generate examples that showcase the assistant’s ability to gracefully complete feasible tasks, recognize infeasible ones, and maintain engaging general chat when tools aren’t required. Ensure all conversations adhere to defined formatting and quality guidelines, using an internal playbook. Iterate on conversation examples based on feedback to continuously improve realism, clarity, and value for training purposes. Collaborate with peers and reviewers to maintain consistency and high standards in deliverables.

Notes:

The project will last 6 weeks

• The role is 100% remote, but requires at least 4 hours of overlap with PST time zone.

20-40 hours/week commitment. Paid by hours logged and approved. Contracting Model 3+ years of overall professional experience in a technical or analytical field.

• Native, bilingual or professional level of Traditional Chinese - Catonese
• Experience in any programming language or tech stack is acceptable; a strong grasp of APIs, data formats (e.g., JSON), and logical thinking is more critical than specific toolsets.
• Strong general technical reasoning skills and the ability to model real-world assistant behavior using tool-based APIs.
• Ability to break down complex tasks and simulate realistic dialogues that reflect user expectations and assistant limitations.
• Excellent written communication skills in English, with a focus on clarity, tone, and instructional coherence.

Creativity and attention to detail in crafting realistic scenarios and responses. Experience working with or around LLMs, virtual assistants, or function-calling frameworks is a plus. Ability to follow detailed guidelines and formatting standards with high consistency.