LLM Trainer - Agent Function call
About this role
About Turing:
Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.
Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
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.
For example, in the case of Agent Completion (AC) data generation, your task will be to simulate high-quality multi-turn conversations between a user and a smart assistant that utilizes function-calling tools to accomplish user goals. You will craft these dialogues by playing both the assistant and the user, while simulating tool use where necessary to guide the assistant through complex decision-making and real-world reasoning scenarios.
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.
- Collaborate with peers and reviewers to maintain consistency and high standards in deliverables.
Requirements:
- 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.
- 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.
- 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.
- 3+ years of overall professional experience in a technical or analytical field.
Perks of Freelancing With Turing:
- Work in a fully remote environment.
- Opportunity to work on cutting-edge AI projects with leading LLM companies.
Offer Details:
- Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
- Engagement Type: Contractor assignment (no medical/paid leave)
- Duration of Contract: 12 Weeks
Location: India, Pakistan, Nigeria, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico
Key skills
Details
- Pay: Shared during the application process
- Company: Turing
- Location: Remote
- Eligible locations: India, Pakistan, Nigeria, Egypt, Ghana, Bangladesh and 3 more
- Platform: Turing
Frequently asked questions
How much does the LLM Trainer - Agent Function call role pay?
Turing does not publish a pay rate for this LLM Trainer - Agent Function call position. Pay is shared during the application process and depends on your experience and the scope of the work.
Is the LLM Trainer - Agent Function call role remote, and can I work from home?
Yes. Turing lists this LLM Trainer - Agent Function call position as fully remote, so you can work from home or anywhere with a reliable computer and internet connection.
Is LLM Trainer - Agent Function call full time or part time?
Turing lists this as a contractor remote role. Full details are in the role description above.
Which countries can apply for LLM Trainer - Agent Function call?
Turing lists eligibility for India, Pakistan, Nigeria, Egypt, Ghana, Bangladesh, Turkey, Brazil, and 1 more countries. Check the Turing listing for current requirements before applying.
Do I need experience to apply for LLM Trainer - Agent Function call?
The requirements are listed in the role description above. Turing screens applicants through its own process, and relevant skills or credentials strengthen your application.
How do I apply for the LLM Trainer - Agent Function call role, and is it legit?
Use the apply button on this page to go straight to the official Turing listing. Turing is a real hiring marketplace and applying is free. No legitimate employer charges you to apply.
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