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Video Labelling Jobs in Texas (NOW HIRING)

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/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

$113K - $136K/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 ...

2K

Publishing Producer

Austin, TX · On-site

$122K - $124K/yr

Who We Are Founded in 2005, 2K Games is a global video game company, publishing titles developed by ... label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). What We Need 2K is looking for an ...

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

$113K - $136K/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

$113K - $136K/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

$113K - $136K/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

$113K - $136K/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 ...

Yesway

Asset Protection Investigator

Fort Worth, TX

... label products, including Allsup's deep-fried burrito. Through strategic acquisitions, new store ... Collect, review, and analyze data from various financial reporting systems and video surveillance ...

New

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 ...

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All JobsVideo Labelling JobsVideo Labelling Jobs in Texas

Video Labelling information

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.

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.

Is there a job that pays you to watch movies?

Video labeling jobs often involve watching movies or video content to annotate or categorize scenes for training AI models. These roles require attention to detail and familiarity with editing tools, and they are typically part-time or freelance positions. Such jobs are common in the tech and AI industries and may require basic computer skills and quality assurance checks.

What is a video labelling job?

A video labelling job involves reviewing and annotating video content to help train machine learning algorithms, such as for autonomous vehicles or content moderation. Workers typically use specialized tools to add tags, labels, or metadata to specific frames or segments, often working remotely with flexible schedules.

What jobs in the US pay 300,000 a year?

In the field of video labelling, high-paying roles typically do not reach $300,000 annually; such salaries are more common in executive, specialized technical, or management positions. Most video labelling jobs are entry-level or mid-tier roles with salaries significantly below that threshold. Advanced roles in related fields like AI development or data science may approach or exceed this level with experience and advanced skills.

What skills do you need for video annotation?

Video labeling requires attention to detail, strong visual perception, and the ability to accurately identify and categorize objects, actions, or scenes. Familiarity with annotation tools and basic understanding of video formats and data organization are also important skills for effective video annotation work.

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 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 July 2026, with employment types broken down into 4% Internship, 80% Full Time, 11% Part Time, and 5% Nights. Highlights an 100% In-person job distribution.

Platform Engineer, Data

Allen Control Systems

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup developing an autonomous gun turret using advanced computer vision and control systems. They are seeking a Data Platform Engineer to design and implement data infrastructure and optimization strategies for model training, ensuring high-quality datasets for their AI applications.
Responsibilities:
• Design and develop a scalable data infastructure, focusing on organization and curation to support continuing increases in data volume and complexity
• Design and implement existing and novel approaches to optimize datasets for model training (e.g., hard example mining, class balancing, de-duplication, embedded-based filtering).
• Support the data infrastructure required for optimal ingestion, transformation, and storing of datasets
• Develop and use synthetic data generation workflows to create realistic synthetic training data for computer vision models.
• Design and own end-to-end image and video pipelines for computer vision model training: multi-source ingestion, QA and visualization, standardization, and organization.
• Coordinate collection of real-world data; coordinate label creation and QA with labelers.
• Develop and use data quality tooling: metrics for balance, drift, and annotation error; active-learning sampling to target gaps; feedback loops from production back to curation.
• Implement and own dataset versioning, release management, and lineage and metadata cataloging.
Qualifications:
Required:
• 3+ years of experience in data engineering or equivalent fields.
• Solid understanding of data structures and systems design for orchestrating data-related workflows in a rapidly growing environment.
• Proficient in using AWS for data management and processing.
• Proficient in Python for scripting and data processing; proficient with SQL and Linux.
• Educational Background: Bachelor’s or Master’s degree in Computer Science or a related field.
• Proven ability to communicate well across engineering teams, and write and maintain effective documentation.
Preferred:
• 5+ years of industry experience.
• Experience in image/video data engineering for computer vision projects.
• Experience with PyTorch DeepCore.
• Experience with Unreal Engine.
Company:
Allen Control Systems develops autonomous defense technologies designed to detect, track, and counter unmanned aerial threats. Founded in 2022, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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