<p>The Data Annotation Specialist is responsible for annotating time-based and frequency-based audio data. Serving as the ground truth, accurately labeled data is the foundation and critical ingredient for training powerful models.</p> <p>This role works cohesively with our engineering and production teams to build factory tools and advanced diagnostic systems. Accurate data annotation is essential to the successful buildout and deployment of these systems. A successful candidate will have high attention to detail, an appreciation for data integrity, and the drive to produce the best possible dataset. In this role you will work with a user interface to label a large variety of incoming audio data.</p> <ul> <li>Label audio files with high accuracy and attention to detail </li><li>Collaborate with computer engineers to design and improve the labeling interface </li><li>Gain basic machine learning knowledge to understand how labels are used by our learning algorithms </li><li>Make informed judgment calls on difficult edge cases during labeling </li><li>Work closely with the team to ensure consistency and quality in labeling </li><li>Identify and report any issues or inconsistencies in the labeling process </li><li>Continuously improve labeling efficiency and accuracy </li><li>A Degree in Music or Film or equivalent experience </li><li>Evidence of exceptional ability </li><li>Previous work experience as vehicle technician with basic understanding of Noise, Vibration, & Harshness (NVH) is a plus </li><li>Experience in mixing or mastering is a plus </li><li>Ability to discern, breakdown, and understand the extreme nuances of sound </li><li>Able to work in a fast-paced environment, learn quickly and be able to prioritize assignments </li><li>Proficient computer skills utilizing keyboard/mouse </li><li>Must be reliable and have good initiative with a commitment to quality </li><li>Valid driver's license required </li><li>Interest in machine learning or neural networks is a plus </li></ul>