Data Annotation Specialist; Contractor

Position: Data Annotation Specialist (Contractor)
## Data Annotation Specialist (Contractor)
Apply locations:
Santa Ana, CAtime type:
Full time posted on:
Posted Todayjob requisition :
JR105271

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, 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 contractor
* who can work full-time (40 hours per week)
* for an 8-week on-site (Santa Ana) contract assignment
* 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 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 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:
Typin…