Data Science Quality Assessment Engineer I

About Us:

EagleView is a fast-growing technology company driving game-changing innovation in multibillion-dollar markets such as property insurance, energy, construction, and government. Leveraging 20+ years of the most advanced aerial imaging technology in the world, along with the most recent advances in machine learning and AI, EagleView is fundamentally transforming how our customers do business.

EagleView, the leader in aerial imagery, is hiring a DATA SCIENCE QUALITY ASSESSMENT ENGINEER I in AI AND MACHINE LEARNING.

Overview:

We are seeking highly skilled and experienced Data Annotators to join our growing team. In this critical role, you will play a vital part in the development of cutting-edge AI/ML models by meticulously labeling and annotating large datasets. Your expertise will directly impact the accuracy and effectiveness of our AI solutions.

We are a fast paced, energetic team driven by continuous process improvement. We’re looking for motivated, organized, and independent team members. This position requires good communication skills and the ability to quickly pick up new technologies.

Responsibilities:

• Accurately and consistently annotate various data annotation types, such as Segmentation, Bounding Box, Polyline, and Classification, according to predefined guidelines and quality control standards.
• Ensure data quality and consistency throughout the annotation process.
• Participate in regular debriefings and meetings to discuss the edge cases and updated guidelines.
• Collaborate with audit team for corrections and improvements.
• Collaborate effectively with team supervisors, and project managers to understand project requirements and resolve any annotation challenges.
• Proactively identify and report any inconsistencies or issues with the annotation process.

Qualifications:

• 1-4 years of professional experience in data annotation, labeling roles.
• Familiarity with Computer Vision annotation tasks.
• Strong understanding of data annotation principles, best practices and Quality control methodologies.
• Proficiency in using annotation tools and platforms (e.g., CVAT, SageMaker GT).
• Excellent attention to detail and accuracy.
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team.
• Excellent communication and interpersonal skills.

Preferred Experience:

• Experience with specific image annotation tasks (e.g., segmentation, classification, bounding box annotation).
• Proficiency in CVAT, SageMaker Ground Truth annotation tools.
• Experience with quality assurance and auditing of annotated data.

EEO Statement:

This job description is not an exclusive or exhaustive list of all job functions that a workforce member in this position may be asked to perform. Duties and responsibilities can be changed, expanded, reduced, or delegated by management to meet the business needs of the company.

The compensation offered to the successful candidate will be based on a variety of factors, including but not limited to, the candidate’s work experience, education and licenses, work-related training, key skills, the core duties of the role and its associated responsibilities, additional benefits offered, and the location where the work will be performed.