Engineer (All Domains)

As an Engineer (All Domains), you will contribute domain expertise toward training and evaluating next-generation AI systems using authentic workplace communication and operational workflows.

This role focuses on transforming fragmented workplace information into structured, realistic AI evaluation tasks that mirror real-world knowledge work and business operations.

No prior AI experience is required. Engineering, operational, and analytical expertise are the primary qualifications.

Key Responsibilities

• Analyze workplace communication sources including:
  • Slack conversations
  • Email threads
  • Internal business documents
  • Operational files

to extract business context and operational insights.

• Trace:
  • Workplace decisions
  • Action items
  • Dependencies
  • Blockers
  • Unresolved operational issues

across distributed communication systems.

• Synthesize fragmented information from multiple timelines and sources into:

  • Multi-step workflows
  • AI evaluation tasks
  • Realistic business scenarios

• Develop operational workflows reflecting:

  • Real-world knowledge work
  • Evolving business environments
  • Complex organizational processes

• Create:

  • Detailed prompts
  • Context-rich scenarios
  • Evaluation rubrics

grounded in authentic workplace data.

• Resolve ambiguity and distinguish critical operational context from irrelevant information
• Maintain strict confidentiality standards while handling sensitive workplace materials

Required Skills & Qualifications

• Exceptional:

  • Written communication
  • Verbal communication
  • Information synthesis abilities

• Experience interpreting:

  • Unstructured workplace communication
  • Complex operational documents
  • Fragmented organizational workflows

• Ability to connect information across:

  • Conversations
  • Files
  • Teams
  • Evolving business situations

• Experience transforming fragmented operational inputs into:

  • Structured workflows
  • Actionable processes
  • Operational task systems

• Strong judgment identifying:

  • Dependencies
  • Blockers
  • Context relevance
  • Operational priorities

• Strong confidentiality and data privacy practices

Preferred Qualifications

• Background in:

  • Operations
  • Project management
  • Startup leadership
  • Account management
  • Business operations

• Experience in:

  • Fast-paced startups
  • High-growth organizations
  • Dynamic operational environments

• Familiarity with:

  • Process mapping
  • Knowledge management
  • Operational workflow systems

Additional Information

This opportunity allows engineering and operations professionals to contribute directly to AI systems trained on realistic business communication, workplace operations, and organizational reasoning workflows.