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Vision Labeling Jobs in Georgia (NOW HIRING)

Multi-Color Corporation

Machine Operator

Dawsonville, GA · On-site

$18 - $21/hr

... vision, depth perception and ability to adjust focus. For over a century, Multi-Color Corporation (MCC) has crafted premium labels for the world's most iconic and recognizable brands. Our labels ...

blanklabel

The company's vision is to build a long-standing national clothing brand. The Role: Blank Label is looking for Retail Associate (Part-Time) to assist with greeting clients, tidying the store, and ...

ADVICS

Kitting Operator 3rd shift

Lagrange, GA · On-site

$15.75 - $20.75/hr

Operate Vision/Inkjet Machine along with PWI 14. Operators are required to complete all check ... labels 3. Close visual check for any problems with the product. Report any problems immediately to ...

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Vision Labeling information

What is vision labeling?

Vision labeling is the process of manually or automatically tagging objects, features, or attributes within images or videos. This data is essential for training computer vision models, which are used in applications like facial recognition, autonomous vehicles, and medical imaging. Vision labeling tasks can include identifying objects, outlining shapes, or classifying scenes. Accurate labeling helps improve the performance and reliability of artificial intelligence systems that rely on visual data.

What are the key skills and qualifications needed to thrive as a vision labeling specialist?

To thrive as a Vision Labeling Specialist, you need strong attention to detail, basic computer literacy, and familiarity with image annotation concepts, often supported by a high school diploma or relevant experience. Proficiency with labeling platforms such as Labelbox, Supervisely, or CVAT, as well as understanding data annotation guidelines, is typically required. Patience, consistency, and effective communication help individuals excel in repetitive tasks and collaborate with quality assurance teams. These skills and qualities are vital to ensure the accuracy and reliability of labeled datasets used to train computer vision models.

What are the main challenges faced by vision labeling specialists, and how can they overcome them?

Vision labeling specialists often encounter challenges such as maintaining high accuracy when annotating complex images, managing repetitive tasks, and meeting tight project deadlines. To overcome these issues, it helps to stay updated on best practices, use quality control tools provided by the employer, and actively participate in team discussions to clarify ambiguous cases. Collaborating closely with machine learning engineers and team leads also ensures labels meet project requirements and helps address any uncertainties quickly.

What is the difference between Vision Labeling vs Data Annotation?

AspectVision LabelingData Annotation
CredentialsTypically requires basic technical skills, familiarity with labeling toolsSimilar, often requires understanding of annotation standards
Work EnvironmentData labeling platforms, remote or on-siteSame as Vision Labeling, often overlapping tools
Industry UsageUsed in AI training for computer vision tasksUsed across AI fields, including NLP and vision
Search & ComparisonFocused on visual data, images, videosBroader, includes text, audio, and visual data

Vision Labeling and Data Annotation are closely related roles in AI data preparation. Vision Labeling specifically involves tagging and categorizing visual data like images and videos, while Data Annotation encompasses a wider range of data types, including text and audio. Both roles require similar skills and tools, but Vision Labeling is specialized for computer vision projects.

What are popular job titles related to Vision Labeling jobs in Georgia?

For Vision Labeling jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Vision Labeling jobs in Georgia look for?

The top searched job categories for Vision Labeling jobs in Georgia are:

What cities in Georgia are hiring for Vision Labeling jobs?

Cities in Georgia with the most Vision Labeling job openings:

Vision Labeling jobs near you

Senior Computer Vision Engineer (Egocentric), Data Foundry Software

Front Door Defense

Atlanta, GA • On-site

$160 - $230/hr

Other

Posted 9 days ago

Job description

Senior Computer Vision Engineer (Egocentric), Data Foundry Build and scale an egocentric perception stack from data collection to production deployment

Location: Atlanta, Georgia

About The Role Computer Vision Engineer And Technologist

Stord operates the largest independent e-commerce fulfillment network in the US — 20+ fulfillment centers, 4,000+ warehouse associates, and nearly 100 million packages shipped annually. We are building a new business line that turns this operational infrastructure into some of the most valuable training data assets in physical AI. We are looking for an experienced computer vision engineer and technologist to build and scale this business from the ground up.

What You Will Own

You will own the early egocentric video stack — data collection, vision models and pipelines, and rigs. You'll partner closely with a small team to operationalize. This is a builder-operator role. You will:

  • Define and deliver the product. You will own the data product across quality tiers — from RGB egocentric video through depth-enhanced and full multimodal capture with hand pose and annotations. You will decide what gets built, in what order, based on what buyers will actually pay for. You will hold the line on quality.
  • Run the capture and delivery program. You will stand up the warehouse capture operation: camera and rig hardware selection, enrollment, edge processing, and the processing pipelines that package datasets for delivery. You will coordinate across warehouse operations, engineering, and customers to ship datasets on spec and on schedule.
  • Build the perception stack. Detection, tracking, and segmentation, plus depth/3D reconstruction and 6DoF, multi-view 3D hand/body pose estimation from egocentric and fixed-camera capture.
  • Stand up VLM-assisted and automated labeling with human-in-the-loop QA to drive down cost per annotated hour, and integrate the annotation tooling.
  • Own the hardware vision intersection. Camera calibration, epipolar/multi-view geometry, and frame-accurate time-sync across multi-camera and egocentric rigs; derive 3D pose by triangulation where no direct sensor exists.
  • Train and ship models. Design, fine-tune, and optimize CV/multimodal models on large unstructured video datasets, and get them reproducible and production-ready, not stuck in a notebook.
What You Bring
  • Experiencing standing up and scaling an egocentric perception stack. You have built and run a similar product end to end at a robotics or AI data company. You have driven the full lifecycle: hardware setup, embedded perception, data pipelines, ensuring quality, and delivering it to production teams who depend on it.
  • 8+ years building and shipping production computer-vision/perception systems (or an MS/PhD in CV, ML, or robotics plus 6+ years hands-on), including systems that ran on messy real-world data, not just benchmarks.
  • Deep expertise in computer vision and tooling — track record of leveraging existing tooling and designing, training, and debugging CNNs and vision transformers from scratch.
  • Strong command of geometric computer vision: camera calibration, depth estimation, and 2D/3D pose estimation
  • End-to-end ownership of a major perception problem: from data and model design through evaluation, optimization, and deployment, with measurable accuracy and reliability outcomes.
  • Track record of setting technical direction for a team or large workstream and raising the bar for other engineers.
  • Proven ability to take ambiguous, 0→1 problems with no established playbook and drive them to a working system with limited resources.
  • Experience with large unstructured datasets (video/multimodal) and the eval discipline to instrument accuracy rather than eyeball it.
  • Expert Python and strong software-engineering fundamentals; C++ where performance demands it.
Why This Role

This is a rare opportunity to build a high-growth business from the ground-up with infrastructure and resources to support. You will have:

  • A structural moat that no startup can replicate
  • Direct access to the fastest-growing buyer market in AI
  • CTO/Co-Founder as your direct partner.
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