Job Description

This role focuses on enhancing Large Language Models (LLMs) by generating high-quality, proprietary data that serves as a foundation for model fine-tuning and performance evaluation. You will simulate multi-turn conversations between users and AI assistants, utilizing function-calling tools to achieve user goals. Your contributions will directly impact the development of advanced AI systems.

Key Responsibilities:

• Design multi-turn conversations that simulate real interactions between users and AI assistants using applications like calendar, email, maps, and drive.
• Emulate both the user and the assistant , including the assistant''s tool calls 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 showcasing the assistant’s ability to 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.

Qualifications:

• 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.

Work Terms:

• Contract position.
• Fully remote work environment.

Compensation:

• Competitive compensation based on experience.

Eligibility:

• Open to candidates with the required experience and skills.

Perks of Freelancing:

• Opportunity to work on cutting-edge AI projects with leading LLM companies.

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