Annotations Systems Engineer, Simbe

• 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

Desirable

• The Annotation Systems Engineer role bridges between engineering and project management to support Simbe’s data annotation efforts through technical expertise and collaboration with relevant teams
• The Annotation Systems Engineer is responsible for ensuring the quality and efficiency of annotation systems and data and usability of annotated data
• While programming responsibilities are essential, the primary focus includes coordinating with teams and managing workflows to maintain high standards in data quality
• 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