Data Annotation Specialist, PSA

Collectors; Santa Ana (CA); On-site; USD 72,000 - 76,000; Full time

Benefits offered by this job

Health Insurance

401(K) Matching Plan

Vacation

Holiday Pay

Employee Discounts

Flexible Hours

Fun Working Environment

Fertility benefits

commuter benefits

Educational assistance

Job summary

Collectors is seeking a Data Annotation Specialist to join our AI/ML team in Santa Ana, CA. The role focuses on reviewing images, following labeling guidelines, and accurately annotating data within our internal software to build high-quality training datasets.

You will work onsite five days per week, collaborate with teammates, and perform QA checks to ensure consistency and accuracy across large datasets.

Qualifications

• Ability to annotate data accurately following labeling guidelines.

Responsibilities

• Prepare and annotate large volumes of data with precision and on schedule.

Skills

Attention to detail

Time management

Communication

Independent work

Team collaboration

Tools

Internal annotation software

Job description

Collectors is the leading creator of innovative technology that provides value-added services for collectors worldwide. We grade, authenticate, vault, and sell millions of record-setting collectibles, all while modernizing and digitalizing the process to further our mission of helping collectors pursue their passions. We’re always on the lookout for talented people to join our growing team.

Our services span collectible trading cards, autographs, comic books, coins, video games, event tickets, and memorabilia. Our subsidiaries include PSA, PCGS, Beckett, SGC, and Card Ladder.

Since our founding in 1986, we have graded and authenticated millions of items. We employ more than 3000 people across our headquarters in Santa Ana, California and offices in New Jersey, Texas, Florida, Japan, Shanghai, Hong Kong, Canada, Mexico, Germany, the UK, and France.

As part of our interview process, we request that candidates have their cameras on during video interviews. This helps foster meaningful conversation and allows us to create an experience that closely resembles our standard working environment. Certain interview steps may take place by phone. For remote roles, and at our discretion, candidates may be asked to participate in an on-site interview as part of the final stages of the process.

We understand there may be occasional circumstances requiring accommodation and are happy to discuss them as needed. Your recruiter will be able to clarify expectations and answer any questions you have.

We’re looking for a Data Annotation Specialist who can work full-time with our AI/ML Team. As a Data Annotation Specialist, 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 AI/ML Director and work onsite from our Santa Ana, CA office headquarters.

Onsite Requirement

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
• Familiarity with data annotation tools or similar software and data formats such as CSV, JSON, and XML
• Prior experience with detail-oriented data work, QA, or repetitive precision tasks

Training You Will Receive In The Role

• Annotation Tools - Training on internal software to efficiently label large datasets
• Data Management - Training on data management 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 Requirements: 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 Range

The salary range for this position is $72,000-$76,440. Actual compensation on this range varies based on a variety of non-discriminatory factors, including location, job level, experience, and skill set.

Reasons To Join Us

• Health Insurance: All full-time employees are eligible to enroll in Medical, Dental, and Vision
• Additional Benefits: Full-time employees are eligible for fertility, commuter, and educational assistance benefits
• 401(K) Matching Plan: We are proud to offer a competitive 401k matching plan to our employees to support their future financial goals
• Vacation: All salaried employees are eligible for flexible time-off
• Holiday Pay: All regular, full-time employees are eligible for ten company paid holidays
• Employee Discounts: Employees receive discounts on select grading services for approved submissions
• Flexible Hours: Many of our teams offer flexible schedules with varying shifts and will work with you to accommodate your needs
• Fun Working Environment: Our team members are invited to participate in 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.

We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We believe that a team that represents a variety of backgrounds, perspectives, and skills will better service the diverse community of collectors we support.

If you require an accommodation to apply or interview with us due to a disability or special need, please email [e-mail].

U.S. residents: for disclosures relating to personal information we collect during the employment application and recruitment process, please see our Privacy Notice for U.S. Applicants.

For New York Residents: In connection with hiring, Collectors Universe, Inc. uses an automated employment decision tool (Brighthire) to assist in evaluating candidates. Collectors Universe, Inc. began using this tool in September 2026. In accordance with NYC Local Law 144, a summary of the most recent independent bias audit of this tool is available from Brighthire . To request information about the type of data collected, its source, and our data retention policy, contact [e-mail].