Penguin LLM Trainer

6 days ago

Delhi, India People Prime Worldwide Full time
About Cient:
Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.They 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.Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications.
Job Title: Penguin LLM Trainer
Location: Pan India
Experience: 5+ yrs
Job Type : Contract to hire
Notice Period:- Immediate joiner
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:
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 16 locales is required:

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