Objective

Zeitview is the leading intelligent aerial imaging company for high-value infrastructure, providing businesses with actionable, real-time insights to recover revenue, reduce risk and improve build quality. Headquartered in Santa Monica, CA, the company serves customers in the solar, wind, insurance, construction, real estate, telecom, utility and critical infrastructure industries. Trusted by the largest enterprises in the world, Zeitview is active in over 70 countries.

We are seeking an experienced Data Labeling Lead to oversee our data labeling teams critical to our machine learning initiatives. The successful candidate will manage multiple labeling projects, ensure the quality of the data, and optimize workflows. Your leadership will ensure our projects are completed efficiently, effectively, and help improve our AI-driven products and services. Will report to Manager.

Responsibilities

● Team Management: Lead a team of data labelers and QC data labelers, including hiring, training, and performance management.

● Project Management: Oversee multiple data labeling projects, ensuring they are delivered on time and meet quality standards.

● Process Improvement: Continuously assess and improve labeling processes, implementing best practices and innovations to increase efficiency and accuracy.

● Quality Assurance: Ensure all labeled datasets pass rigorous quality checks and the accuracy required for high-performing machine learning models is maintained.

● Collaboration: Work closely with data scientists, machine learning engineers, and other stakeholders to understand requirements and communicate project progress.

● Training and Development: Develop a training curriculum for new hires and ongoing professional development for the data labeling team.

● Strategy Planning: Participate in strategic planning with the leadership team to align data labeling efforts with organizational goals.

● Reporting: Provide regular reports on project status, team performance, and any challenges encountered.

● All other duties as assigned

Required qualifications

● Leadership: Proven leadership skills with the ability to manage and motivate teams.

● Experience: Previous experience in managing data labeling teams for machine learning/AI projects.

● Technical Acumen: Solid understanding of machine learning processes and how high-quality labeled data impacts model performance.

● Communication: Exceptional communication skills to effectively interact with cross-functional teams and stakeholders.

Problem-Solving: Strong analytical and problem-solving abilities to address challenges and improve data labeling processes.

Knowledge, Skills and Abilities

● Bachelor’s degree or equivalent combination of education, training, or work-related experience

● Minimum 3-4 years of experience in managing AI data labelling teams

● Knowledge and experience using relevant software tools.

● Successfully working independently and as part of a team with ability to work remotely and direct or coordinate effectively with a fully remote workforce.

● Ability to work flexible hours to accommodate work schedules across a global company operating in multiple time zones

● Good solid communication capabilities and practices, both oral and written

● Solid computer skills (i.e.: Office suite, Google suite, Slack, Zoom, Asana, etc.)

● Commitment to lifelong learning through continual improvement, researching/studying disciplines relevant to this position.

Able to sit, stand for long periods of time