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2 дня назад

AI Trainer (Robotics)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
AI Trainer (Robotics): Designing training curricula and guiding users through the NeuraGym pipeline for robot skill acquisition with an accent on teleoperation, data annotation, and model refinement. Focus on collaborating with robotics engineers to ensure safety and performance while bridging the gap between AI research and end-user deployment.

Location: Aachen, Germany

Company

hirify.global is a technology company specializing in advanced robotics and AI-driven automation solutions.

What you will do

  • Design training curricula and plan demonstration sessions for robot skill acquisition.
  • Onboard users to the full NeuraGym pipeline, including teleoperation, annotation, and deployment.
  • Collaborate with robotics engineers to ensure desired behaviors and safety standards during data capture.
  • Guide users through model training, identify data quality issues, and resolve learning failures.
  • Act as a key interface between trainees and the cloud/AI engineering teams.
  • Provide feedback from training sessions to influence the NeuraGym and core AI product roadmaps.

Requirements

  • Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field.
  • 3+ years of hands-on experience in robot learning or physical AI training.
  • Proficiency in Python and practical experience with PyTorch or TensorFlow.
  • Experience working directly with real robot hardware and teleoperation setups.
  • Strong command of English and German (B2–C1 level) is required.

Nice to have

  • Experience with C++.
  • Cloud experience (AWS, Azure, or GCP).
  • Familiarity with robotic simulation tools such as IsaacSim or MuJoCo.

Culture & Benefits

  • Opportunity to work at the intersection of physical AI and robotics.
  • Collaborative environment working closely with research and engineering teams.
  • Direct impact on product development and AI roadmaps.

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