Annotation Systems Engineer

Responsibilities

• Annotation Process Management: Oversee the existing image annotation workflows, working closely with the annotation team to optimize processes and ensure efficiency.  
• Guideline Development: Review, refine, and expand data annotation guidelines to support consistent data quality across projects.  
• System Collaboration and Improvement: Partner with platform engineering teams to enhance current annotation systems and participate in the development of new systems to meet evolving needs.  
• Quality Control: Develop and maintain systems to review and clean annotation data as necessary, implementing checks to ensure data integrity and usability.  
• Data Collection System Maintenance: Manage the upkeep of existing data collection systems while designing and building new ones to improve data acquisition processes.  
• Auto-Annotation Tool Integration: Research, evaluate, and integrate automated annotation tools to increase efficiency in the annotation pipeline.  
• Team Performance Optimization: Benchmark performance metrics for the annotation team, manage capacity planning, and make recommendations for productivity improvements.

Requirements

• Communication Skills: Excellent verbal and written communication skills, enabling effective collaboration across teams and clear documentation of processes and improvements.  
• Technical Proficiency: Minimum of two years of experience in Python, Bash scripting, and web frontend programming, facilitating the development and maintenance of tools to support annotation processes.  
• Source Control Knowledge: Familiarity with Git or similar source control systems to manage codebase and versioning is advantageous.

Preferred Qualifications

• BS or MS in Computer Science or related fields highly recommended but not required.  
• Annotation Experience: Background in video annotation or annotations for robotics applications, which will be helpful for specialized tasks and understanding complex annotation requirements.