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Vision Labeling Jobs in Texas (NOW HIRING)

Welo Data

Data Labeling Associate

Austin, TX

$34/hr

WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and voice datasets ... Medical, Dental, and Vision Insurance * Free Breakfast, Lunch, and Dinner (where applicable)

T3i, Inc.

Computer Vision Engineer

San Antonio, TX · On-site

... Curate, label, and manage flight-collected datasets; build data pipelines for ingestion ... vision systems (3+ years with an MS, or 2+ years with a PhD) • Strong proficiency in modern C ...

Advantage Marking & Labeling, Inc

Be Seen First

HP Indigo Press Operator

Dallas, TX · On-site

$23 - $28/hr

Printing Labels + Flexible Packaging. Company will pay for all your health benefits (Health + Vision + Dental + Life Insurance). Quarterly Bonuses. Minimum 2 Years Experience.

Vestcom

Label Machine Operator

Dallas, TX

We design and develop labeling and functional materials, radio-frequency identification (RFID ... Color vision proficiency to distinguish product variations. Shift: D Shift, Wednesday 12AM - 6AM ...

Avery Dennison

Label Machine Operator

Dallas, TX

We design and develop labeling and functional materials, radio-frequency identification (RFID ... Color vision proficiency to distinguish product variations. Shift: D Shift, Wednesday 12AM - 6AM ...

Avery Dennison

Label Machine Operator

Dallas, TX · On-site

We design and develop labeling and functional materials, radio-frequency identification (RFID ... Color vision proficiency to distinguish product variations. Shift: D Shift, Wednesday 12AM - 6AM ...

Avery Dennison

Label Machine Operator

Dallas, TX

We design and develop labeling and functional materials, radio-frequency identification (RFID ... Color vision proficiency to distinguish product variations. Shift: D Shift, Wednesday 12AM - 6AM ...

Avery Dennison

Label Machine Operator

Dallas, TX · On-site

We design and develop labeling and functional materials, radio-frequency identification (RFID ... Color vision proficiency to distinguish product variations. Shift: D Shift, Wednesday 12AM - 6AM ...

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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 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 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 are the key skills and qualifications needed to thrive as a Vision Labeling Specialist, and why are they important?

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 popular job titles related to Vision Labeling jobs in Texas? For Vision Labeling jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Vision Labeling jobs in Texas look for? The top searched job categories for Vision Labeling jobs in Texas are:
What cities in Texas are hiring for Vision Labeling jobs? Cities in Texas with the most Vision Labeling job openings:
Vision Labeling jobs near you

AI Quality Technician Labeler (Part-Time)

AST SpaceMobile

Odessa, TX • On-site

$18.25 - $24.50/hr

Full-time

Re-posted 24 days ago

Job description

Job Summary:
AST SpaceMobile is building the first and only global cellular broadband network in space. They are seeking a part-time AI Quality Technician Labeler to label imagery of spacecraft components and assembly steps to train AI models, ensuring high accuracy and consistency in their labeling tasks.
Responsibilities:
• Label images and short video clips of spacecraft components, sub-assemblies, and assembly steps using AST’s in-house computer-vision labeling software
• Apply bounding boxes, polygons, segmentation masks, keypoints, and classification tags according to AST’s labeling guidelines and ontology
• Maintain a high level of accuracy and consistency across labeling tasks, meeting throughput and quality targets set by the AI Lab Manager
• Flag ambiguous, defective, or unusual images for review by quality inspectors, engineers, or data scientists
• Participate in calibration sessions, inter-rater agreement reviews, and ontology refinement discussions
• Follow all AI Lab security and operations rules, including no personal cell phones, cameras, personal electronics, or removable storage media in the lab
• Maintain accurate logs of completed work batches, time on task, and any issues encountered
• Partner with the AI Lab Manager and quality inspectors during on-floor image-capture sessions when required
Qualifications:
Required:
• High school diploma or equivalent
• Strong attention to detail and ability to maintain accuracy on repetitive visual tasks for sustained periods
• Basic computer literacy: comfortable using a mouse, keyboard, and web-based or desktop labeling tools
• Ability to follow written instructions, ontologies, and quality guidelines closely
• Ability to be physically on-site in Midland, TX for the agreed part-time schedule
• Willingness to comply with strict no-personal-electronics, no-photography, and no-removable-media lab rules
• Must be legally authorized to work in the United States
Preferred:
• Prior experience with image annotation, data labeling, or QA work
• Familiarity with labeling tools such as CVAT, Labelbox, Scale, or similar platforms
• Background in manufacturing quality, optical inspection, photography, or technical documentation
• Interest in AI, computer vision, robotics, or aerospace
• Coursework or certificate in computer technology, drafting, electronics, or related field
Company:
AST SpaceMobile is a space-based broadband cellular network company for unmodified mobile devices. Founded in 2017, the company is headquartered in Midland, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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