LLM Trainer – Agent Function call

Turing Enterprises, Inc.; India; Remote; INR 2,376,000 - 3,802,000; Full time

Benefits offered by this job

Fully remote

Cutting-edge AI projects

Time commitments: 20/30/40 hrs

Contractor engagement

6-week contract

Job summary

Turing Enterprises, Inc. is seeking a freelance data-dialogue designer to craft high-quality multi-turn conversations for AI systems. You will simulate user and assistant interactions, including function-calling tools, to train and evaluate model behavior.

This remote contractor role requires strong technical reasoning, clear English, and meticulous attention to detail. Duration is 6 weeks with a minimum weekly commitment, overlapping US PST hours.

Qualifications

• 4+ years in a technical or analytical role.
• Experience drafting realistic AI training dialogues.
• Strong written and verbal English communication.

Responsibilities

• Design multi-turn conversations simulating user and AI assistant interactions.
• Emulate user and assistant, including tool calls when needed.
• Craft dialogues demonstrating natural language, reasoning, and tool use.
• Iterate dialogues based on feedback to improve realism and utility.

Skills

Technical reasoning

Task breakdown

Programming experience

English communication

Attention to detail

LLMs / AI tools experience

Job description

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.
• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)
• Engagement Type: Contractor assignment (no medical/paid leave)
• Duration of Contract: 6 Weeks