Data Annotation Specialist

We’re looking for a Data Annotation Specialist who can work full-time with our AI/ML Team. You will support a high-priority initiative focused on building high-quality training data for our machine learning models. Your work will involve reviewing images, following detailed labeling guidelines, and accurately annotating data within our internal software. You will be motivated to reach your goals and deadlines as you focus on accurately labeling, tagging, and categorizing large datasets. You’ll report to the AI/ML Director and work onsite from our Santa Ana, CA office headquarters. This role requires you to be onsite in the office 5 days per week. ## What You’ll Do - Prepare and annotate large volumes of data with precision, efficiency, and within project timelines. - Collaborate with team members to ensure data is labeled consistently and accurately according to defined guidelines. - Perform quality control checks to maintain high levels of annotation accuracy. - Communicate effectively with stakeholders to understand project requirements and labeling specifications. - Continuously improve annotation workflows to increase efficiency and reduce errors. ## Who You Are - You have a personal interest in collectibles, trading cards, coins, or related hobbyist markets (not required, but it helps). - You have a keen eye for accuracy and strong attention to detail. - You are motivated by clear goals and consistent, measurable output, and can maintain focus through repetitive, high-volume work. - You work well both independently and as part of a team, with strong time management and minimal need for oversight. - You communicate clearly and are comfortable asking critical questions. - You are comfortable with standard computer tools and data management systems. - You are familiar with data annotation tools or similar software and data formats such as CSV, JSON, and XML. - You have prior experience with detail-oriented data work, QA, or repetitive precision tasks. ## Training You Will Receive - Annotation tools: Training on internal software to efficiently label large datasets. - Data management: Training on practices to organize and maintain accurate, high-quality datasets. - Quality control: Training on QC methods to ensure data meets accuracy and consistency standards. - Machine learning concepts: For interested candidates, an introduction to the basics of machine learning concepts and how annotation supports model training. ## Physical Requirements - Computer use: Typing, mouse work, and sitting and looking at a computer potentially for long periods of time. - Hand use: Regular hand use for various tasks. - Hearing: Ability to hear alarms, signals, and verbal instructions. - Lifting and carrying: Ability to routinely lift, carry, and move materials up to 40 pounds. - Sitting: Ability to sit for extended periods of time. - Sitting or standing: Ability to sit or stand for extended periods of time. - Vision: Using vision-aiding devices, as well as sitting in dark or dimly lit rooms with soft desk lighting. ## Salary The salary range for this position is $72,000–$76,440. Actual compensation varies based on a variety of non-discriminatory factors, including location, job level, experience, and skill set. ## Benefits - Medical, dental, and vision insurance for full-time employees. - Fertility, commuter, and educational assistance benefits for full-time employees. - 401(k) matching plan. - Flexible time off for salaried employees. - Ten company-paid holidays for regular, full-time employees. - Discounts on select grading services for approved submissions. - Flexible schedules with varying shifts offered by many teams. - Celebrations, holiday events, and team-building activities.Candidates must be authorized to work in the United States. Collectors uses e-Verify to validate your ability to work legally in the United States.