LLM Trainers

Job Profile: LLM Trainers (Chinese language)

Remote- Canada

Contract

Role Overview:

This position is within a project with one of the foundational LLM companies. The goal is to assist these foundational LLM companies in enhancing their Large Language Models.

One way we help these companies improve their models is by providing them with high-quality proprietary data. This data serves two main purposes: first, as a basis for fine-tuning their models, and second, as an evaluation set to benchmark the performance of their models or competitor models.

What does day-to-day look like:

· 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.

Requirements:

· 3+ years of overall professional experience in a technical or analytical field.

• 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.
• Excellent written communication skills in English, with a focus on clarity, tone, and instructional coherence.
• Experience working with or around LLMs, virtual assistants, or function-calling frameworks is a plus.

Job Types: Full-time, Fixed term contract

Pay: Up to $23.00 per hour

Experience:

• APIs: 4 years (required)
• JSON: 3 years (required)

Language:

• Chinese (required)