Job Summary: As a Engineer (All Domains), you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities:
- Analyze and interpret authentic Slack conversations, email threads, and internal files from real startup environments.
- Trace workplace decisions, identify action items, dependencies, blockers, and unresolved issues across distributed communications.
- Synthesize fragmented information from multiple sources and timelines to create complex, realistic tasks for AI agent evaluation.
- Develop multi-step workflows that mirror real-world knowledge work scenarios and evolving business contexts.
- Write clear, context-rich prompts and evaluation rubrics grounded in authentic workplace data.
- Resolve ambiguities, connect context, and distinguish between relevant and irrelevant information with accuracy.
- Uphold strict confidentiality standards when handling genuine, sensitive workplace materials.
Required Skills and Qualifications:
- Exceptional written and verbal communication skills, with an eye for clarity and context.
- Demonstrated experience interpreting unstructured, messy workplace communications and documents.
- Ability to connect and synthesize information across conversations, files, and evolving business situations.
- Experience transforming fragmented inputs into structured, multi-step tasks or workflows.
- Proven skill in identifying blockers, dependencies, and unresolved questions in complex environments.
- Strong judgment distinguishing key context from noise in fast-paced settings.
- Meticulous approach to data privacy and confidentiality.
Preferred Qualifications:
- Background in operations, project management, startup leadership, account management, or similar roles.
- Generalist with hands-on experience in fast-paced, high-growth business or startup environments.
- Prior exposure to process mapping or knowledge management is a plus.
