Field Application Engineer

About the role

Field Ai is building AI systems that help robots operate safely and reliably in real-world environments. They focus on risk-aware and field-ready solutions for robotics, going past standard data-driven methods and pure transformer architectures. The company has already deployed solutions globally and continues to improve its models through direct field applications, as described at https://fieldai.com. They are looking for a Field Application Engineer to support their work in Hokkaido on a part-time, fixed-term basis. Their approach goes beyond typical data-driven methods and pure transformer-based architectures, charting a new path for embodied intelligence. Field Ai has already delivered globally deployed solutions that produce real-world results and rapidly improve through direct field applications. Field Ai is committed to building dependable AI that addresses the most complex challenges in robotics. Their work has already produced real-world results that demonstrate the potential of field-ready AI for robotics.

Key facts

What you'll do

• Support the deployment of AI systems in field environments across Hokkaido and surrounding regions
• Work with robotics teams to identify practical challenges and translate them into technical requirements
• Collect and analyze real-world performance data from deployed models to guide improvements
• Coordinate with local stakeholders to ensure smooth integration of AI solutions into existing workflows
• Assist in setting up and maintaining field hardware and software infrastructure
• Document field observations and share insights with the research and engineering teams
• Help train end users and operational staff on how to interact with the AI systems effectively
• Participate in regular field tests and report findings to the broader team
• Contribute to the refinement of risk-aware decision-making modules used in robotic systems
• Bridge communication between the Hokkaido field team and the central research group at Field Ai
• Collaborate with the research team to define success metrics for field deployments and model iterations
• Provide feedback on model behavior in live environments and suggest areas for further development
• Ensure that all field activities comply with safety standards and organizational protocols
• Support the documentation and reporting of field deployment outcomes for internal and external stakeholders

Requirements

• Demonstrated experience working with robotics or AI systems in a field or applied setting
• Familiarity with deploying machine learning models in real-world, non-lab environments
• Strong understanding of risk assessment and reliability considerations for autonomous systems
• Ability to work independently and manage tasks in a part-time capacity of approximately 30 hours per week
• Preference for candidates who are local to the Hokkaido area
• Experience with data collection, analysis, and reporting in field conditions
• Good communication skills for coordinating with both technical and non-technical partners
• Fixed-term availability for the duration of the engagement
• Comfortable with travel within the Hokkaido region for field visits and client meetings
• Degree or equivalent practical experience in computer science, robotics, or a related discipline
• Willingness to learn and adapt as the company's technology and field operations evolve

Nice to have

• Background in embodied intelligence or robot learning research
• Experience with transformer-based or advanced neural network architectures
• Knowledge of Japanese language and local customs in Hokkaido
• Prior work with globally deployed AI or robotics products
• Familiarity with field data pipelines and edge computing setups
• Interest in bridging the gap between academic research and commercial deployment
• Experience working with Japanese technology companies or research institutions

Skills & tools

• Robotics middleware and field deployment frameworks for real-world applications
• Machine learning model evaluation and monitoring pipelines in production
• Data collection and annotation tools designed for real-world scenarios
• Risk assessment methodologies and reliability engineering for autonomous systems
• Hardware setup, calibration, and troubleshooting for field-deployed robots
• Version control systems and collaborative development platforms for team workflows
• Simulation environments and synthetic data generation for robotics training

Practical notes

• This is a part-time position requiring approximately 30 hours of work per week
• The role is fixed term, meaning it has a defined end date rather than being permanent
• Candidates local to Hokkaido are preferred for this position
• The work is based in Hokkaido, Japan, and requires on-site presence in the field
• Applicants should expect to work on-site in Hokkaido and engage directly with field operations
• This fixed-term engagement has a defined duration and is not a permanent full-time role

About the company

Field AI is transforming how robots interact with the real world. We are building risk-aware, dependable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence.