Ambulance Dispatcher AI Training Specialist

You will bring real-world emergency communications experience to AI training. The work focuses on realistic ambulance dispatch scenarios, protocol-based decisions, accurate records, and practical feedback on simulation quality.

• Receive and triage emergency requests through radio, phone, and chat channels.
• Use standard protocols and checklists to assess urgency and support resource allocation.
• Prioritize concurrent requests and send clear dispatch instructions to appropriate responders.
• Document incoming communications and dispatch decisions accurately.
• Manage several inbound and outbound communication streams while maintaining attention to detail.
• Help improve data quality standards, protocol effectiveness, and the realism of emergency communications simulations.

This is a remote, part-time contractor opportunity for people with professional ambulance or emergency dispatch experience. Formal certification is not required, but practical dispatch knowledge is important.

• Pay: $30 to $55 per hour.
• Expected commitment: 10 to 15 or more hours per week, with the listed requirement under 20 hours per week.
• Location:
  
  Remote, in eligible countries listed for the role.
• Language:
  English.
• Experience level:
  Entry level is listed, with professional ambulance or emergency dispatch expertise required.
• Understand incident triage, prioritization, and protocol-based decision-making.
• Have experience managing radio, phone, and chat communications at the same time.
• Communicate clearly and empathetically in writing and speech.
• Stay composed during urgent, time-sensitive situations and keep accurate records.
• Dispatcher or coordinator experience is highly valued.
• Experience with operational checklists, real-time resource coordination, and emergency communication records is helpful.

AI training is the human work behind systems that learn from examples, ratings, and feedback. Open Train is the hiring and contracting organization for this role, connecting practical domain expertise such as emergency dispatch judgment with the data and simulations used to improve AI systems.