
Lead Conversational Designer
2 days ago
As an LLM trainer, you play a pivotal role in shaping the conversational capabilities of our virtual assistants.
Key Responsibilities:
- Design and craft multi-turn conversations that simulate real-world interactions between users and AI assistants, leveraging various tools such as calendar, email, maps, and drive.
- Develop dialogue scenarios that showcase natural language understanding, intelligent behavior, and contextual awareness across multiple turns.
- Carefully curate conversations to ensure logical flow, proper usage of function calls, and adherence to defined formatting and quality guidelines.
- Iterate on conversation examples based on feedback to enhance 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.
- 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.
Preferred Qualifications:
- Experience working with or around LLMs, virtual assistants, or function-calling frameworks.
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