Vision Data Specialist

Insight Global; United States; Remote; USD 28,000 - 34,000; Full time

Job summary

Insight Global is seeking Vision Data Specialist to support AI data labeling for computer vision models. The role focuses on high-volume image and video annotation, including bounding boxes, segmentation, classification, object tracking, and QA/review according to strict guidelines.

The ideal candidate is detail-oriented, able to work remotely from the United States, and comfortable aligning to PST hours while delivering accurate, scalable results in a fast-paced environment.

Qualifications

• Bachelor's degree; open major allowed.
• 2
• 6+ months of computer vision, image/video annotation, GIS labeling, mapping, QA/QC, or data annotation.
• Ability to follow detailed guidelines and make consistent labeling decisions across bounding boxes, classification, tracking, and QA.

Responsibilities

• Accurately annotate CV datasets using bounding boxes, segmentation, classification, and tracking.
• Review content and apply project-specific guidelines.
• Identify edge cases and escalate ambiguities.
• Maintain high quality, throughput, and compliance with metrics.
• Collaborate with peers to improve annotation workflows and provide tooling feedback.
• Complete assignments within service-level expectations and project deadlines.

Skills

Image Annotation

Video Annotation

Bounding Boxes

Object Classification

Object Tracking

QA/QC

Attention to detail

Education

Bachelor's Degree

Tools

Annotation Tools

Job description

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

About the Role

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.

Must-Have Qualifications

• 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.

Preferred Qualifications

• 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.

Day-to-Day Responsibilities

• 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.

Success Profile

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.