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Vision Labeling Jobs in Texas (NOW HIRING)

Waabi

Senior Software Engineer, Auto Labelling

Dallas, TX · On-site +1

$170K - $220K/yr

... vision, and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system. - Architect and scale the pipeline to handle ...

Waabi

Senior Software Engineer, Auto Labelling

Dallas, TX · On-site +1

$170K - $220K/yr

... vision, and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system. - Architect and scale the pipeline to handle ...

Vestcom

Label Machine Operator - A Shift

Dallas, TX

$15.50 - $18.50/hr

We design and develop labeling and functional materials, radio-frequency identification (RFID ... Color vision proficiency to distinguish product variations. Additional Information Additional ...

AST SpaceMobile

AI Lab Manager

Midland, TX

Hire, onboard, schedule, and supervise a part-time computer-vision image-labeling workforce, ensuring consistent shift coverage and adequate throughput on labeling queues * Train labelers on AST's in ...

AST SpaceMobile

AI Lab Manager

Midland, TX · On-site

Hire, onboard, schedule, and supervise a part-time computer-vision image-labeling workforce, ensuring consistent shift coverage and adequate throughput on labeling queues * Train labelers on AST's in ...

Cavender's

Chief Product Design Director

Tyler, TX

$127K - $156K/yr

Define and lead the enterprise-wide creative vision across product design, Exclusive Brands, Private Label, brand expression, and retail environments. * Establish innovative design strategies that ...

Cavender's

Chief Product Design Director

Dallas, TX

$150K - $184K/yr

Define and lead the enterprise-wide creative vision across product design, Exclusive Brands, Private Label, brand expression, and retail environments. * Establish innovative design strategies that ...

Cavender's

Chief Product Design Director

Austin, TX · On-site

$150K - $184K/yr

Define and lead the enterprise-wide creative vision across product design, Exclusive Brands, Private Label, brand expression, and retail environments. * Establish innovative design strategies that ...

Cavender's

Chief Product Design Director

Tyler, TX · On-site

$127K - $156K/yr

Define and lead the enterprise-wide creative vision across product design, Exclusive Brands, Private Label, brand expression, and retail environments. * Establish innovative design strategies that ...

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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
Project Perseus \u007C Data Labeling Associate - Arabic Speakers (Human-in-the-Loop AI)

Project Perseus \u007C Data Labeling Associate - Arabic Speakers (Human-in-the-Loop AI)

Welo Data

Austin, TX

$34/hr

Full-time

Posted 17 days ago

Job description

Overview

Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.

This is not a traditional annotation role.

You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.

We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.

Project Details

  • Job Title: Data Labeling Associate
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $34/hour
  • Contract Duration: 1-year contract with possibility of extension
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.
What You’ll Do
  • Evaluate AI model outputs and provide structured, high-quality feedback
  • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
  • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
  • Contribute to improving evaluation frameworks, not just executing them
  • Identify trends in model performance and communicate insights clearly
  • Participate in team discussions, calibrations, and stakeholder syncs
  • Partner with leads and cross-functional teams to refine quality standards
  • Document findings in a clear, concise, and actionable way
What We’re Looking For
  • Native-level language proficiency and a university degree (Bachelor’s or higher).
  • B2 or superior level of English.  
  • 1–2 years of professional writing experience with strong, structured writing skills
  • Ability to apply complex writing rules and guidelines consistently
  • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
  • Strong critical thinking and attention to detail
  • Ability to make sound judgment calls in ambiguous situations
  • Naturally curious about AI, technology, and how systems behave
  • Comfortable speaking up, asking questions, and contributing ideas
  • Strong written and verbal communication skills
  • Ability to stay consistent while working with evolving guidelines
  • Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Why This Role

This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.