[Hiring] Data Annotation Specialist @Volga Partners

Role Description

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.

• 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.

Qualifications

• U.S. Citizenship: Must be a United States citizen and possess a valid U.S. passport, 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

• 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

• 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.

Compensation & Project Details

• Employment Type: W-2 Employee
• Work Arrangement: Remote – United States
• Eligibility: U.S. citizens with a valid U.S. passport
• Hourly Compensation: $14–$15 USD/hour
• Estimated Work Schedule: Monday–Friday, 8:00 AM–4:30 PM Central Time
• Weekly Hours: up to 40 hours/per week
• Anticipated Project Start: October/November 2026
• Initial Project Duration: Through March 2027
• Benefits: Eligible to accrue paid sick leave based on local/state laws. Not eligible for paid time off unless required by state/local laws.
• Potential Extension: Opportunities for extension may be available based on project performance, client requirements, and continued business needs.

Why Join Volga Partners?

• Contribute to AI Technology: Play a direct role in improving how artificial intelligence systems recognize and interpret visual information through accurate, high-quality data annotation.
• Gain Valuable AI Industry Experience: Expand your experience with computer vision, object detection, and data annotation processes that support the development of modern AI systems.
• Work Remotely: Contribute to a specialized AI project from an eligible U.S. location while collaborating with an established project team.
• Be Part of a Growing Field: Develop practical experience in an essential area of AI development while contributing to a project that values accuracy, reliability, and attention to detail.