Role Responsibilities
- Review recorded video sessions of robotic arms executing various industrial tasks.
- Apply provided grading and annotation guidelines to tag, classify, and comment on each session.
- Identify, document, and categorize mechanical or control problems observed in the footage.
- Utilize expert understanding of machine movement to pinpoint reasons for operational failures or inefficiencies.
- Ensure all annotations are precise, comprehensive, and align with project standards to advance AI training quality.
- Collaborate with project coordinators as needed to clarify ambiguities in guidelines or video content.
Requirements
- Professional background in Mechatronics Engineering or closely related discipline.
- Prior experience with video annotation or data labeling, especially for robotic or industrial automation systems.
- Demonstrated ability to spot and interpret mechanical and control problems in complex machinery.
- Strong attention to detail, with a record of producing accurate technical deliverables.
- Understanding of why and how machines fail and the dynamics of robotic movement.
- Experience supporting AI training or machine learning projects is highly preferred.
- Ability to work autonomously and deliver results in a remote, asynchronous project environment.
Application Process
- Easy Apply on LinkedIn
- Check email for next steps
- Participate in resume evaluation & interview stage
Rate:
Not specified
Location:
United Kingdom
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Not Specified