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.

As a QC Data Labeler, your primary responsibility is to ensure the quality and accuracy of data annotations provided by our data labelers. By meticulously reviewing and validating labeled datasets, you will be at the forefront of ensuring the effectiveness of our machine learning and AI models. Your keen eye for detail and expertise in the field will be critical in maintaining the high standards our projects demand. Reports to Lead.

Responsibilities

● Quality Control: Conduct thorough reviews of labeled data, identifying errors or inconsistencies, and ensuring the final dataset meets the quality criteria.

● Feedback & Reporting: Provide feedback to data labelers regarding observed inconsistencies and errors and submit regular QC reports to management.

● Tool Mastery: Utilize in-house or third-party quality control tools efficiently, with a focus on speed and accuracy.

● Collaboration: Liaise closely with data scientists, machine learning engineers, and data labelers to ensure mutual understanding of quality standards and project requirements.

● Training: Provide training sessions or workshops for data labelers based on observed areas of improvement.

● Documentation: Maintain detailed records of QC checks, identified issues, and corrective actions taken.

● Continuous Improvement: Suggest enhancements in the quality control process, tools, and methodologies to drive higher efficiency and accuracy.

● All other duties as assigned.

Required qualifications

● Attention to Detail: Exceptional ability to identify inaccuracies and inconsistencies in labeled data.

● Technical Proficiency: Familiarity with digital tools and platforms, and a zest to stay updated with evolving technologies.

● Communication: Excellent verbal and written communication skills to provide constructive feedback and effectively collaborate with diverse teams.

● Analytical Thinking: Ability to analyze data, understand patterns, and recognize outliers.

● Basic Knowledge: Good understanding of machine learning and artificial intelligence concepts.

Knowledge, Skills and Abilities

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

● Minimum one (1) year of relevant experience in Quality control of AI annotated images

● 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