Supervisor, Data Annotation

Manage a team of data annotation specialists who label data for neural network training. Oversee quality assurance efforts and projects to ensure timely delivery of annotated data.

Roles and Responsibilities:

· Project Management

o Planning and coordinating data annotations projects, creating timelines and organizing meetings.

o Ensure that documentation and daily planning are accurate and up to date

o Prioritize job queues and allocate headcount between quality control and labeling

· Communication

o Facilitating communication between engineers and QA or customers and ensuring that specifications and deadlines are understood.

· Team Management

o Oversee a team of data annotation specialists, including employee development, performance reviews, and check-ins.

o Have leadership skills to drive efficiency for medium-sized teams of annotators

o Manage timekeeping and attendance

o Ensure that the team works together as a cohesive unit

· Research

o Monitor and resolve issues in various pipeline stages.

o Conduct research on prioritizing automation with the goal of reducing manual efforts and improving efficiency.

· Collaboration

o Coordinating with other teams within the company and more senior managers to get the resources the team needs

Qualifications:

· Bachelor's degree in Engineering, Computer Science, or a related field is required.

· 2+ years of experience in engineering, data annotation, or quality control management, prefer 4+ years experience.

· Proven experience leading and developing high-performing teams.

· Strong understanding of machine learning concepts, data labeling practices, and annotation tools.

· Excellent analytical, problem-solving, and organizational skills.

· Strong communication and leadership abilities.

Preferred Skills:

· Master's degree or higher education in Engineering, Computer Science, or a related field is preferred.

· Experience in computer vision, NLP, or other AI domains.

· Familiarity with data annotation platforms (e.g., CVAT, Labelbox, or similar).

· Knowledge of Python, SQL, or related technical skills is a plus.