Technical Dialogue Designer for AI Model Training

This role focuses on enhancing Large Language Models (LLMs) by generating high-quality, proprietary data that aids in fine-tuning and evaluating these models. You will engage in creating realistic multi-turn conversations between users and AI assistants, simulating tool use to navigate complex decision-making scenarios.

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 necessary.
• 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 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, utilizing 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, focusing 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 with a fully remote work environment.

Compensation:

• Competitive compensation based on experience.

Eligibility:

• Open to candidates with the required qualifications and experience.

Perks of Freelancing:

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