Freelancer | Llm Trainer - Italy | Remote |8$-10$/Per Hr | Immediate Joiners |

Pgc Digital (America) Inc: Cmmi Level 3 Company; Bolzano; Remoto; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A technology consulting firm located in Italy is seeking a skilled individual to enhance Large Language Models by designing multi-turn conversations between users and AI assistants. This role requires technical reasoning skills, creativity in crafting realistic scenarios, and strong communication in English. The ideal candidate has over 3 years of experience and a good understanding of APIs and data formats. This opportunity offers a chance to work on innovative projects at the forefront of AI technology.

Competenze

• 3+ years of overall professional experience in a technical or analytical field.
• Strong grasp of APIs and data formats, logical thinking is critical.
• Ability to model realistic dialogues using tool-based APIs.

Mansioni

• Design multi-turn conversations simulating real interactions between users and AI assistants.
• Generate examples showcasing assistant's ability to complete tasks and engage in general chat.
• Collaborate with peers to maintain high standards in deliverables.

Conoscenze

Technical reasoning skills

Written communication skills in English

Creativity in scenario crafting

Strumenti

APIs

JSON

Descrizione del lavoro

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.

Day‑to‑Day 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.

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.
• 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.
• Native or professional proficiency in at least one of the following five locales is required.