Job Description

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 Data Labeler, you will play a pivotal role in our machine learning and AI projects. You'll be responsible for annotating and tagging data with utmost precision, ensuring the data fed into our algorithms is of the highest quality. Your attention to detail and understanding of the project requirements will directly influence the effectiveness and accuracy of our machine learning models Responsibilities

? Data Annotation & Labeling: Review raw data and provide accurate and high-quality annotations/labels based on project requirements.

? Quality Assurance: Regularly validate your work to ensure labeled data is consistent, accurate, and meets the project's standards.

? Tool Mastery: Efficiently use in-house or third-party data labeling tools, ensuring a high level of proficiency and speed.

? Collaboration: Work closely with data scientists, machine learning engineers, and other team members to understand specific labeling requirements and receive feedback.

? Continuous Learning: Stay updated with the best practices in data labeling and actively suggest improvements in the labeling process and tools.

? Documentation: Maintain records of the labeled datasets, annotations, and provide regular status updates on projects.

? Issue Identification: Proactively identify ambiguous cases in the data and seek clarifications or create clear feedback to enhance the labeling guidelines.

? All other duties as assigned. Required qualifications

? Attention to Detail: Ability to identify minute details and inconsistencies in data.

? Technical Proficiency: Comfort with digital tools and platforms, with a willingness to learn new tools as required.

? Communication: Strong verbal and written communication skills to collaborate effectively and clarify doubts.

? Time Management: Ability to handle multiple tasks and projects simultaneously within specified deadlines.

? Basic Knowledge: Familiarity with the concepts of machine learning and artificial intelligence is a plus. Knowledge, Skills and Abilities

? Bachelor's degree or equivalent combination of education, training, or work-related experience ? 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

Job Types: Full-time, Permanent

Pay: ?100,000.00 - ?264,000.00 per year

Benefits:

• Health insurance

Schedule:

• Day shift

Work Location: In person