Reliable Robotics Corporation

Reliable Robotics Corporation

Part 135 Line Pilot

Albuquerque, NM · Contract

Sponsorship not specifiedDetected 142 days ago
RoboticsLeadershipCommunication

About the role

  • Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet.
  • Reliable Airlines is a cargo feeder operator, operating for a major cargo carrier since June 2022 in Albuquerque, New Mexico.
  • Your role will be critical in maintaining operational integrity and execution of cargo feeder operations within an exciting new air carrier seeking to efficiently move cargo and establish the future of remote operations.

Requirements

  • Must be willing to travel up to 75% of the time

Nice to have

  • Preferred Criteria

Benefits

  • FAA First or Second Class Medical

Company info

  • We're building safety-enhancing technology for aviation that will save lives.
  • We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.
  • Our world-class leadership team holds extensive strategic and operational experience in the air cargo industry.
  • We are building a high performance team and hiring at all levels within the organization.
  • You will be part of a broader organization that is seeking to enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet.
  • We are a team of mission-driven engineers and operators with experience across aerospace, robotics and self-driving cars working to make this future a reality.
  • As a Caravan Captain at Reliable Airlines, you will be part of the airline's team and report directly to the Chief Pilot.

Visa & Work Authorization

  • export control laws

This listing is sourced directly from Reliable Robotics Corporation's careers page and normalized into a canonical job model.