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Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Data Operator

AI & Machine LearningConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Practical training or experience in mechanics, electrical work, automotive work, or a similar field.
  • Ability to work in a fast-paced production environment, including shift work.
  • Ability to stand and move for extended periods.
  • Good hand-eye coordination and precision.
  • Ability to perform repetitive teleoperation tasks with concentration and care.

Responsibilities

  • Operate NEURA robots via teleoperation and perform real-world tasks.
  • Wear motion-capture equipment and reproduce prescribed movements and sequences according to project specifications.
  • Conduct structured data collection to produce high-quality training data for artificial intelligence.
  • Set up and calibrate robots and prepare them for tests and demonstrations.
  • Observe robot performance, work closely with on-site service technicians, troubleshoot problems, and document observations.
  • Collaborate with artificial intelligence and robotics engineers to improve the robots.

Desired Qualifications

  • Experience with robotics or automation is desirable but not required.
  • German language skills are a plus.

About the Company

Neura Robotics

Cognitive robots with perception, manipulation, collaboration

Neura Robotics builds cognitive robots for industrial and service settings, combining perception, manipulation, and human collaboration. It develops both the hardware and the software stack for Physical AI, creating robot platforms like MAiRA, MAV, LARA and MiPA along with training infrastructure. The system works by integrating sensing, decision-making, and manipulation capabilities on a hardware-software stack that can be deployed in large-scale production, with the company planning robots fleets and NEURA Gyms for ongoing training and improvement. What sets Neura Robotics apart is its end-to-end approach to Physical AI, including a focus on mass production, an established global deployment plan, and a broad ecosystem of strategic backers and partners that support scaling and international expansion. The goal is to enable worldwide deployment of its robot platforms and associated training infrastructure, turning physical AI into widely available industrial and service automation.

Company size
501-1,000
Company stage
Series C
Total funding
$1.7B
Headquarters
Metzingen, Germany
Founded
2019

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