Remote LLM Trainer - Agent Function call

Turing; Bengaluru; Remote; INR 3,296,000 - 7,910,000; Part time

Benefits offered by this job

Fully remote environment

Opportunity to work on cutting-edge AI projects

Flexible time commitment options (20, 30, or 40 hours/week)

Job summary

A leading tech firm is looking for an entry-level position to assist in enhancing large language models by simulating high-quality multi-turn conversations between users and AI assistants. The role requires 3+ years in a technical field, strong reasoning and communication skills, and a commitment of at least 20 hours a week in a fully remote environment. You'll work on cutting-edge AI projects and collaborate with LLM companies. This position is contractual with a duration of 6 weeks.

Qualifications

• 3+ years of professional experience in a technical or analytical field.
• Experience in programming language or tech stack.
• Familiarity with APIs, data formats like JSON.
• Experience with LLMs, virtual assistants, or function-calling frameworks is a plus.

Responsibilities

• Design multi-turn conversations simulating user interactions.
• Collaborate to maintain quality standards in deliverables.
• Iterate on conversation examples based on feedback.
• Craft dialogues that show natural language, intelligent behavior, and context understanding across turns.
• Iterate on conversations based on feedback to improve realism and value.

Skills

Technical reasoning skills

Written communication skills in English

Creativity

Attention to detail

Professional experience 3+ years

English communication

LLMs familiarity

Attention to detail

Tools

JSON formats

Job description

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

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

Seniority level: Entry level

Employment type: Contract

Job function: Information Technology

Industries: Technology, Information and Internet