Data Annotation Specialist (Contractor)

Collaborative Solutions • Santa Ana, CA

28d • Onsite

About The Position

Collectors is seeking a Data Annotation Specialist contractor to work full-time (40 hours per week) for an 8-week contract assignment with their AI/ML Team. This role is focused on building high-quality training data for machine learning models. The specialist will review images, follow detailed labeling guidelines, and accurately annotate data using internal software. The position requires motivation to meet goals and deadlines while accurately labeling, tagging, and categorizing large datasets. The role reports to the AI/ML Director and is based at the Santa Ana, CA office headquarters. This is an on-site role requiring presence in the office 5 days per week.

Requirements

• Keen eye for accuracy and strong attention to detail
• Motivated by clear goals and consistent, measurable output, and can maintain focus through repetitive, high-volume work
• Ability to work well both independently and as part of a team, with strong time management and minimal need for oversight
• Clear communication skills and comfort asking critical questions
• Comfortable with standard computer tools and data management systems
• Prior experience with detail-oriented data work, QA, or repetitive precision tasks
• Must be authorized to work in the United States

Nice To Haves

• Familiarity with data annotation tools or similar software
• Familiarity with data formats such as CSV, JSON, and XML

Responsibilities

• 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

Benefits

• Training on internal software to efficiently label large datasets
• Training on data management practices to organize and maintain accurate, high-quality datasets
• Training on QC methods to ensure data meets accuracy and consistency standards
• Introduction to the basics of machine learning concepts and how annotation supports model training (for interested candidates)

What This Job Offers

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