Data Annotation Specialist - Object Detection

Full-Time | Remote | W-2 Employment | Temporary

Help Power the Future of Artificial Intelligence

At Volga Partners, we connect talented individuals with opportunities to contribute to the development and improvement of advanced Artificial Intelligence (AI) technologies.

We're currently seeking detail-oriented, tech-savvy Data Annotation Specialists to support an exciting AI project focused on object detection and visual data annotation.

In this role, you'll help improve how AI systems recognize, identify, and interpret objects within visual datasets. Your work will involve accurately labeling and annotating objects according to established project guidelines, ensuring the consistency and quality of data used to train and evaluate AI models.

This is a temporary, full-time, W-2 employment opportunity offering a consistent 40-hour workweek, a structured schedule, and the opportunity to gain hands-on experience supporting AI technology.

We're looking for individuals who are comfortable working with computers, have experience with data annotation or object detection, and can maintain a high level of accuracy while performing detailed, repetitive tasks.

Key Responsibilities

• Perform Object Detection Annotation: Identify, label, and annotate objects within visual datasets using designated annotation tools and project-specific instructions.
• Ensure Annotation Accuracy: Apply established labeling standards to ensure annotations are accurate, complete, and consistent across assigned datasets.
• Follow Project Guidelines: Adhere to detailed annotation instructions, classification criteria, and quality standards to maintain reliable and standardized results.
• Review and Validate Annotations: Evaluate completed annotations for accuracy, identify labeling errors or inconsistencies, and make corrections as needed.
• Maintain Data Quality: Recognize unclear objects, ambiguous classifications, and annotation challenges, escalating questions or inconsistencies through established project channels.
• Utilize Digital Annotation Tools: Navigate web-based annotation platforms and other digital tools efficiently to complete assigned tasks.
• Meet Productivity and Quality Expectations: Complete assigned annotation workloads within established timelines while maintaining accuracy and attention to detail.
• Collaborate with Project Teams: Communicate with project coordinators, team leads, and quality assurance personnel to clarify instructions, resolve annotation questions, and support consistent project outcomes.
• Maintain Documentation and Confidentiality: Follow applicable data handling procedures, maintain confidentiality, and adhere to project security and quality requirements.
• Required Qualifications
• Candidates should possess the following qualifications: U.S. Citizenship: Must be a United States citizen as required for project eligibility.
• Data Annotation Experience: Previous experience performing data annotation, image labeling, object detection, or similar structured data labeling tasks.
• Technical Proficiency: Strong computer skills, including familiarity with web-based applications, digital tools, and online work platforms.
• Attention to Detail: Ability to accurately identify visual objects, distinguish between classifications, and consistently apply detailed annotation requirements.
• Ability to Follow Instructions: Demonstrated ability to understand and follow structured workflows, labeling guidelines, and quality assurance standards.
• Consistency and Accuracy: Ability to maintain a high level of precision when performing repetitive, detail-oriented tasks over extended periods.
• Time Management: Strong organizational skills and the ability to manage assigned workloads while meeting established productivity expectations and deadlines.
• Independent Work: Ability to work independently in a remote environment while maintaining regular communication with project leads and team members.
• Schedule Commitment: Must be available to work the required full-time schedule of 40 hours per week, Monday through Friday, from 8:00 AM to 4:30 PM Central Time, including a 30-minute unpaid meal break.

Preferred Qualifications

• The following experience may strengthen a candidate's application: 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 working on high-volume annotation projects with defined productivity and accuracy standards.
• Familiarity with structured task management systems and remote collaboration tools.

What Makes a Strong Candidate

Successful candidates are individuals who enjoy detailed, structured work and can consistently maintain accuracy while working with digital information.

Strong candidates typically demonstrate:

Precision and Attention to Detail: The ability to identify subtle differences between objects and apply annotation standards accurately.

Technical Adaptability: Confidence navigating digital platforms and learning new tools or annotation workflows.

Consistency and Reliability: A disciplined approach to repetitive tasks, with a commitment to meeting quality and productivity expectations.

Problem-Solving Skills: The ability to recognize unclear or challenging annotation scenarios and seek appropriate clarification.

Accountability: A dependable work ethic, strong time management, and the ability to maintain a consistent full-time schedule.

Team Collaboration: Clear communication and a willingness to incorporate feedback to improve annotation quality.