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Vision Labeling Jobs in Texas (NOW HIRING)

Tesla

Data Labeler

Austin, TX · On-site

... labeling interface • Gain basic computer vision and machine learning knowledge to better understand how the labels are used by our learning algorithms • Make judgement calls on difficult edge ...

T3i, Inc.

Computer Vision Engineer - UAS

San Antonio, TX

$100.60K - $118.60K/yr

We are seeking a Computer Vision Engineer (CVE) to develop the Blackfoot's perception and visual ... Curate, label, and manage flight-collected datasets; build data pipelines for ingestion ...

Oxy

Sr AI Computer Vision Engineer

Houston, TX · On-site

$116.90K - $154.20K/yr

... video labeling workflows, using Roboflow or similar annotation tools • Deliver computer vision models for surface and downhole image analysis, including lithology, facies, and textural ...

Oxy

Senior AI - Computer Vision Engineer

Houston, TX · On-site

$117K - $154.20K/yr

Design, manage, and continuously improve image and video labeling workflows, using Roboflow or similar annotation tools * Deliver computer vision models for surface and downhole image analysis ...

Oxy

Senior AI - Computer Vision Engineer

Houston, TX · On-site

$99.80K - $137K/yr

Design, manage, and continuously improve image and video labeling workflows, using Roboflow or similar annotation tools * Deliver computer vision models for surface and downhole image analysis ...

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Vision Labeling information

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 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 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 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
Visual Data Labeling Technician I (Part-Time)

Visual Data Labeling Technician I (Part-Time)

AST SpaceMobile

Midland, TX • On-site

$20/hr

Other

Posted 15 days ago

Job description

Role Summary

AST SpaceMobile is hiring part-time Visual Data Labeling Technician I in Midland, TX to label imagery of spacecraft components, sub-assemblies, and factory-floor assembly steps used to train AST's computer-vision and robotics AI models.

Working on-site in the AI Lab, you will use AST's in-house labeling software to draw bounding boxes, polygons, and segmentation masks; classify components and defects; and follow detailed labeling guidelines defined by AST's data scientists and manufacturing quality engineers. This is a high-precision, security-controlled role: the lab is a no-personal-electronics environment, and your accuracy and consistency directly determine the quality of the AI models AST relies on for visual inspection and robotic operation.

The role is well suited to detail-oriented people who enjoy focused screen work, take pride in careful documentation, and want to contribute to the next generation of space-based connectivity.

Key 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

Required Qualifications

  • 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

Preferred Qualifications

  • 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

Compensation & Benefits

  • Base hourly rate of $20.00/ hour
  • Part-time, on-site role in Midland, TX
  • Opportunity to contribute directly to AI models that support spacecraft manufacturing and operations
  • We are flexible with work hours between 8am and 6pm, Monday through Friday. We are able to work around school schedules, daycare, and appointments. Great part time work!

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

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