Data Annotation Specialist - Object Detection

Volga Partners

2d•$14 - $15•Remote

About The Position

Volga Partners is seeking detail-oriented, tech-savvy Data Annotation Specialists for a temporary, full-time, remote W-2 project focused on object detection and visual data annotation. The role supports the development and evaluation of AI systems by accurately identifying, labeling, and annotating objects in visual datasets according to project guidelines. Specialists use digital annotation tools and follow established standards to maintain consistent, high-quality data. The position offers a scheduled 40-hour workweek, Monday through Friday, 8:00 AM to 4:30 PM Central Time, including a 30-minute unpaid meal break. The initial assignment is expected to continue through March 2027, with an anticipated start in October or November 2026. An extension may be possible but is not guaranteed. The role is remote within the United States, and project eligibility requires U.S. citizenship and a valid U.S. passport. Compensation is $14–$15 per hour. Employees may accrue paid sick leave as required by applicable local or state law; paid time off is not provided unless legally required.

Requirements

Must be a United States citizen and possess a valid U.S. passport for project eligibility.
Previous experience in data annotation, image labeling, object detection, or similar structured data-labeling work.
Strong computer skills, including familiarity with web-based applications, digital tools, and online work platforms.
Ability to accurately identify visual objects, distinguish classifications, and consistently apply detailed annotation requirements.
Ability to understand and follow structured workflows, labeling guidelines, and quality assurance standards.
Ability to maintain precision while performing repetitive, detail-oriented tasks over extended periods.
Strong organizational and time-management skills, including the ability to meet productivity expectations and deadlines.
Ability to work independently in a remote environment while communicating regularly with project leads and team members.
Availability for a 40-hour-per-week schedule, Monday through Friday, 8:00 AM to 4:30 PM Central Time, including a 30-minute unpaid meal break.

Nice To Haves

Previous experience with AI data annotation, computer vision, or machine-learning data preparation.
Familiarity with object-detection annotation techniques, including bounding boxes, image classification, or object labeling.
Experience using data-annotation or image-labeling platforms.
Background in quality assurance, data validation, or digital content review.
Ability to recognize and resolve inconsistencies in visual datasets.
Previous experience on high-volume annotation projects with defined productivity and accuracy standards.
Familiarity with structured task-management systems and remote collaboration tools.

Responsibilities

Identify, label, and annotate objects in visual datasets using designated annotation tools and project-specific instructions.
Apply established labeling standards to ensure annotations are accurate, complete, and consistent.
Follow detailed annotation instructions, classification criteria, and quality standards.
Review completed annotations, identify errors or inconsistencies, and make corrections as needed.
Recognize unclear objects, ambiguous classifications, and annotation challenges, and raise questions through established project channels.
Use web-based annotation platforms and other digital tools to complete assigned tasks.
Complete assigned workloads within established timelines while meeting productivity and quality expectations.
Communicate with project coordinators, team leads, and quality assurance personnel to clarify instructions and resolve questions.
Follow data-handling procedures, maintain confidentiality, and comply with project security and quality requirements.