Vision Data Specialist

Title: Vision Data Specialist / AI Data Specialist

Location: United States (Remote) -- Must work PST hours

Schedule: Full-Time, Remote

Contract Length: 6 Months + Extensions Possible

Pay Rate: $20-$25/hr

We are seeking Vision Data Specialists to support the development of next-generation AI and computer vision models. This role will focus on labeling and validating image and video datasets used to train machine learning systems. Specialists will perform high-volume annotation tasks including bounding boxes, object segmentation, classification, object tracking, and quality review while adhering to detailed project guidelines.

The ideal candidate is highly detail-oriented, thrives in fast-paced environments, and can consistently make accurate decisions when working with large-scale visual datasets.

• Bachelor's Degree required. Open major, provided the academic background demonstrates strong critical thinking, attention to detail, and pattern recognition skills.
• 6+ months of Computer Vision, Image Annotation, Video Annotation, GIS Labeling, Mapping, QA/QC, or Data Annotation experience.
• Ability to consistently apply detailed annotation guidelines and make accurate labeling decisions across:
• Bounding Boxes
• Object Classification
• Object Tracking
• Visual QA Validation
• Experience performing detail-oriented image, video, quality control, or visual analysis work where accuracy and consistency were critical.
• Strong visual pattern recognition skills with the ability to identify objects, attributes, movements, and anomalies across large image and video datasets.
• Experience working within quality-driven environments where performance is measured through accuracy, precision, throughput, and compliance metrics.
• Ability to identify ambiguous cases, elevate inconsistencies, and adapt quickly to evolving project requirements and annotation standards.
• Strong computer proficiency and ability to learn new annotation tools, workflows, and AI data platforms quickly.
• Ability to work independently while maintaining productivity, accuracy, and quality targets in a fast-paced environment.
• Excellent written communication skills and ability to document rationale for annotation decisions.
• Demonstrated ability to accept and incorporate feedback through calibration sessions, quality audits, and continuous improvement processes.

• Experience working on autonomous vehicle, robotics, aerial imagery, security camera, geospatial, or machine vision projects.
• Experience with multimodal AI datasets (image, video, audio, text).
• Experience performing annotation quality audits.
• Familiarity with computer vision concepts and machine learning data pipelines.
• Experience with RLHF or Generative AI evaluation programs.
• Additional language proficiency.

• Accurately annotate computer vision datasets using:
• Bounding boxes
• Semantic and instance segmentation
• Classification and categorization
• Object tracking
• Visual quality validation
• Review visual content and apply project-specific guidelines consistently.
• Identify edge cases and elevate ambiguous labeling scenarios.
• Maintain high levels of quality, consistency, and productivity.
• Participate in quality audits and calibration exercises.
• Collaborate with peers and leads to improve annotation workflows.
• Provide feedback on tooling, workflows, and annotation processes.
• Complete assignments within service-level expectations and project deadlines.
• Adapt to evolving project requirements and labeling standards.

Successful candidates are sharp, detail-oriented individuals who can quickly identify patterns in visual data, make consistent decisions at scale, and maintain exceptional quality standards while working independently.