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Penguin LLM Trainer Roles (Multiple Languages)

Penguin LLM Trainer Roles (Multiple Languages)

MillionLogicsWorkFromHome, Norge
2 days ago
Job description

Company Description

As a trusted Oracle Partner, MillionLogics stands as a global powerhouse in IT solutions, merging innovation, expertise, and strategic vision. With offices in London, UK, and a development hub in Hyderabad, India, MillionLogics bridges sharp business foresight with world-class technical talent. Our mission is to transform enterprises through smart, scalable IT solutions, including Data & AI services, Cloud solutions, and IT consulting. We empower organisations to evolve and lead, delivering tailored, results-driven technology solutions backed by our team of 25+ Oracle experts.

Role Description

This is a contract remote role for Penguin LLM Trainer Roles (Multiple Languages) at MillionLogics. This position is within a project with one of the reputed clients, which is an LLM company based in the USA. The goal is to assist the clients 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 utilises 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 behaviour, and contextual understanding across multiple turns.
  • Generate examples that showcase the assistant’s ability to gracefully complete feasible tasks, recognise 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 behaviour 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.
  • Excellent English communication and interpersonal skills
  • Ability to work independently and remotely
  • Native or professional proficiency in at least one of the following locales : Japanese (Japan), Korean (South Korea), Dutch (Netherlands), Swedish (Sweden), Danish (Denmark)
  • Perks of Freelancing With MillionLogics

  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.
  • Commitments Required : 8 hours per day and 40 hours per week with an overlap of 4 hours with PST.
  • Engagement Type : Contractor assignment (no medical / paid leave)
  • Duration of the Contract : YTB
  • Compensation : Competitive
  • How to Apply

    Urgent requirement, please apply here on LinkedIn or email us your updated CV at

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    Llm Trainer Multiple • WorkFromHome, Norge

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