23 часа назад
Technical Trainer, Atlas Data Operations (Robotics)
73 000 - 101 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Trainer, Atlas Data Operations (Robotics): Designing and delivering training and documentation for robot pilots and external product operators with an accent on robotics hardware, software, APIs, and operational procedures. Focus on building instructor-led curricula, assessing pilot skills, managing documentation change control, and translating engineering practices into playbooks and SOPs.
Location: Savannah, United States
Salary: $73,000–$101,000 annually
Company
develops advanced robots and the technologies that enable their machine learning and manipulation capabilities.
What you will do
- Design, maintain, and improve onboarding and levelling programs for Atlas Data Operations robot pilots.
- Deliver instructor-led training on robotics hardware, software, products, APIs, solution infrastructures, and operational processes.
- Coach and assess robot pilots, identify skill gaps, and track knowledge retention.
- Create and maintain technical training materials, task playbooks, SOPs, presentations, and hands-on exercises.
- Own the documentation change-control process and coordinate documentation and operational needs across Data Operations, Engineering, CL&D, and partner teams.
- Translate effective techniques from experienced pilots and engineers into training programs and standardized documentation.
Requirements
- Bachelor’s degree preferred, or equivalent professional experience in instructional systems, curriculum management, or technical training leadership; a high school diploma or GED is required.
- Experience as a technical trainer, documentation specialist, or teacher, including communication of complex technical topics to technical and non-technical audiences.
- Experience developing curricula for instructor-led training and managing small projects or operations in a fast-paced technology, R&D, or laboratory environment.
- Experience using generative AI to create and optimize polished documents from source content.
- Ability to operate VR headsets, motion-capture suits, and handheld VR controllers for extended sessions; VR use may cause physical discomfort or motion sickness.
- Strong computer proficiency and excellent written and verbal communication skills.
Nice to have
- Familiarity with robotics concepts, VR systems, or machine-learning data pipelines.
- Hands-on experience with mechanical or electrical systems, enterprise networks, Linux command line, or Python.
Culture & Benefits
- Regular Monday–Friday schedule with 40 hours per week.
- Periodic flexibility to cover first or second shifts and provide off-hours operational support.
- Medical, dental, and vision coverage.
- 401(k), paid time off, and an annual bonus structure.
- Work in collaboration with engineering and partner teams in a dynamic, rapidly evolving technical environment.
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