Penguin LLM Trainer Role at Easy Recruit Global | Torre
Penguin LLM Trainer Role
Easy Recruit Global
Easy Recruit Global

Penguin LLM Trainer Role

Emma
Emma
You'll create realistic dialogues to advance AI by shaping and evaluating next-gen Large Language Models
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Full-time

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Compensation
USD20 - 40/hour
Non-negotiable
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Remote (for Italy residents)
Remote (for Germany residents)
Remote (for China residents)
Remote (for Hong Kong residents)
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Published 12 days ago

Responsibilities & more

This position is part of a project with one of the foundational LLM companies. The goal is to support these companies in improving their Large Language Models. One way we contribute is by providing high-quality proprietary data. This data serves two main purposes: as a basis for fine-tuning the models and 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 leverages function-calling tools to achieve user goals. You will create these dialogues by acting as both the assistant and the user, simulating tool use when necessary to guide the assistant through complex decision-making and real-world reasoning scenarios. Day-to-day responsibilities include: * Designing multi-turn conversations that simulate real interactions between users and AI assistants using applications such as calendar, email, maps, and drive. * Emulating both the user and the assistant, including the assistant’s tool calls when corrections are needed. * Selecting carefully when and how the assistant uses available tools, ensuring logical flow and proper function call usage. * Crafting dialogues that demonstrate natural language, intelligent behavior, and contextual understanding across multiple turns. * Generating examples that showcase the assistant’s ability to complete feasible tasks, recognize infeasible ones, and maintain engaging general conversation when tools are not required. * Ensuring all conversations adhere to formatting and quality guidelines, following the internal playbook. * Iterating on conversation examples based on feedback to improve realism, clarity, and training value. * Collaborating with peers and reviewers to maintain consistency and high standards in deliverables. Requirements: * 3+ years of professional experience in a technical or analytical field. * Experience in any programming language or tech stack is acceptable; a strong understanding of APIs, data formats (e.g., JSON), and logical reasoning is more important than specific tools. * Strong 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 with LLMs, virtual assistants, or function-calling frameworks is a plus. Work conditions: * 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 a minimum of 20 hours per week, with 4 hours overlapping with PST. * Engagement type: Contractor assignment (no medical/paid leave). * Contract duration: 6 weeks.
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