Data Annotation Specialist, PSA

Collaborative Solutions • Santa Ana, CA

4h • Onsite

About The Position

Collectors is seeking a full-time Data Annotation Specialist to support its AI/ML Team in building high-quality training data for machine learning models. The role involves reviewing images, following detailed labeling guidelines, and accurately annotating data using internal software. The specialist will label, tag, and categorize large datasets while meeting quality goals and project deadlines. This position reports to the AI/ML Director and is onsite five days per week at the company’s headquarters in Santa Ana, California.

The company provides training in its annotation tools, data management practices, quality-control methods, and—if of interest—machine learning concepts. The role requires extensive computer use and may involve sitting or standing for extended periods, working in dimly lit rooms, and routinely moving materials weighing up to 40 pounds.

Requirements

• Keen eye for accuracy and strong attention to detail.
• Motivation to meet clear goals and consistent, measurable output while maintaining focus during repetitive, high-volume work.
• Ability to work independently and as part of a team, with strong time management and minimal need for oversight.
• Clear communication skills and comfort asking critical questions.
• Comfort with standard computer tools and data management systems.
• Familiarity with data annotation tools or similar software and data formats such as CSV, JSON, and XML.
• Prior experience with detail-oriented data work, quality assurance, or repetitive precision tasks.
• Authorization to work in the United States.
• Ability to perform the stated physical requirements, including routine lifting, carrying, and moving of materials up to 40 pounds.

Nice To Haves

• Personal interest in collectibles, trading cards, coins, or related hobbyist markets; this is not required.
• Interest in receiving an introduction to machine learning concepts and how annotation supports model training.

Responsibilities

• Prepare and annotate large volumes of data accurately and efficiently 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 annotation accuracy.
• Communicate with stakeholders to understand project requirements and labeling specifications.
• Improve annotation workflows to increase efficiency and reduce errors.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed