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Video Labelling Jobs in Texas (NOW HIRING)

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113.50K - $136.30K/yr

... video pipelines for computer vision model training: multi-source ingestion, QA and visualization, standardization, and organization. • Coordinate collection of real-world data; coordinate label ...

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113.50K - $136.30K/yr

... video pipelines for computer vision model training: multi-source ingestion, QA and visualization, standardization, and organization. • Coordinate collection of real-world data; coordinate label ...

TFE Careers

AV Rack Specialist

Georgetown, TX · On-site

$25 - $30/hr

Fabricate and terminate audio, video, control, and network cabling to industry standards * Perform proper cable management, labeling, lacing, and strain relief to ensure serviceability and airflow

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113.50K - $136.30K/yr

... video pipelines for computer vision model training: multi-source ingestion, QA and visualization, standardization, and organization. * Coordinate collection of real-world data; coordinate label ...

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113.50K - $136.30K/yr

... video pipelines for computer vision model training: multi-source ingestion, QA and visualization, standardization, and organization. * Coordinate collection of real-world data; coordinate label ...

Allen Control Systems

Platform Engineer, Data

Austin, TX

$113.50K - $136.30K/yr

... video pipelines for computer vision model training: multi-source ingestion, QA and visualization, standardization, and organization. * Coordinate collection of real-world data; coordinate label ...

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113.50K - $136.30K/yr

... video pipelines for computer vision model training: multi-source ingestion, QA and visualization, standardization, and organization. * Coordinate collection of real-world data; coordinate label ...

Filevine

Legal Videographer

Houston, TX · On-site

... labels (e.g. identifying speaker), ensure compliance with standard formats. * Prepare the video for presentation, which may include formatting for court use, making backup copies, encoding ...

Filevine

Legal Videographer

Houston, TX

... labels (e.g. identifying speaker), ensure compliance with standard formats. * Prepare the video for presentation, which may include formatting for court use, making backup copies, encoding ...

Filevine

Legal Videographer

Houston, TX

... labels (e.g. identifying speaker), ensure compliance with standard formats. * Prepare the video for presentation, which may include formatting for court use, making backup copies, encoding ...

Sherwin-Williams

Facility Warehouser

Houston, TX · On-site

$16 - $20/hr

Receive and process warehouse stock products (pick, unload, label, store) * Check incoming ... While you can complete this video interview on your own schedule, we ask that this step be ...

AEG

Summer Videography Internship

Spring, TX · On-site

$10/hr

... label video content in proper manner for storage and future use • Be on-site at junior/professional golf events throughout the season • This position will be attending 1-2 events per week which ...

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Video Labelling information

What is a Video Labelling job?

A Video Labelling job involves annotating or tagging objects, actions, or events in video footage to train machine learning models. This process helps AI systems recognize and interpret visual data accurately. Tasks may include drawing bounding boxes, classifying scenes, or adding timestamps for specific events. Video labelling is commonly used in industries like autonomous driving, security surveillance, and content moderation.

What are the key skills and qualifications needed to thrive in the Video Labelling position, and why are they important?

To thrive as a Video Labelling professional, you should have excellent attention to detail, basic computer proficiency, and familiarity with visual content analysis. Knowledge of annotation platforms, video editing software, or AI training tools is often required, and experience with data labelling systems can be beneficial. Strong communication, reliability, and the ability to follow detailed guidelines are important soft skills for this role. These abilities ensure high-quality, consistent data annotation that directly supports machine learning and computer vision projects.

What does a typical day look like for someone working in Video Labelling?

A typical day in Video Labelling involves reviewing video footage, identifying and annotating specific objects or events according to project guidelines, and entering this data into specialized software tools. Team members often collaborate with data scientists, engineers, or quality assurance leads to ensure accuracy and consistency in the annotations. Depending on the project and employer, you may work independently or as part of a larger team, sometimes with set quotas or deadlines. This work is crucial for developing and refining AI and machine learning models, making attention to detail and adherence to standards especially important. Over time, experienced video labelling professionals may progress to quality assurance roles or team leads overseeing larger annotation projects.
More about Video Labelling jobs
What are the most commonly searched types of Video Labelling jobs in Texas? The most popular types of Video Labelling jobs in Texas are:
What are popular job titles related to Video Labelling jobs in Texas? For Video Labelling jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Video Labelling jobs in Texas look for? The top searched job categories for Video Labelling jobs in Texas are:
What cities in Texas are hiring for Video Labelling jobs? Cities in Texas with the most Video Labelling job openings:
Video Labelling jobs near you
Infographic showing various Video Labelling job openings in Texas as of May 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 100% In-person job distribution.
Project Perseus \u007C Data Labeling Associate - English Speakers (UK, Canadian and/ or Australian v

Project Perseus \u007C Data Labeling Associate - English Speakers (UK, Canadian and/ or Australian v

Welo Data

Austin, TX • On-site

$34/hr

Full-time

Posted 4 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 English proficiency (UK, CA, AU) and a university degree (Bachelor’s or higher).
  • 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. 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.