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Full Time Video Annotation Jobs (NOW HIRING)

Sorenson

Sign Language Specialist

Salt Lake City, UT · On-site +1

$66K/yr

You annotate sign language video content in-house, validate AI-generated output for linguistic ... Experience 2 Years of substantive professional ASL work (annotation, linguistics, interpreting ...

CaptionCall

Sign Language Specialist

Salt Lake City, UT · On-site

$27.74 - $46.30/hr

... hearing! Full time Benefits * Paid Vacation Time and Paid Sick Time and Paid Holidays * 401k 6% ... Annotate sign language video content, adding linguistic labels and metadata to raw video. * Help ...

CaptionCall

Sign Language Specialist

Salt Lake City, UT · On-site +1

$57K - $96K/yr

You annotate sign language video content in-house, validate AI-generated output for linguistic ... Experience 2 Years of substantive professional ASL work (annotation, linguistics, interpreting ...

BJC HealthCare

Neurodiagnostic Tech II

Saint Louis, MO · On-site

Louis Children's Hospital | Full-Time | Night Shift Are you an experienced EEG professional looking ... Performs annotation and clipping of long-term video EEG data independently (academic locations only)

BJC HealthCare

Neurodiagnostic Tech II

Saint Louis, MO · On-site

$28.30 - $47.03/hr

Louis Children's Hospital | Full-Time | Night Shift Are you an experienced EEG professional looking ... Performs annotation and clipping of long-term video EEG data independently (academic locations only)

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Full Time Video Annotation information

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$26K

$59.8K

$95K

How much do full time video annotation jobs pay per year?

As of Sep 12, 2026, the average yearly pay for full time video annotation in the United States is $59,788.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $69,500.00 per year, depending on experience, location, and employer.

What is a full time video annotation?

A Full Time Video Annotation job involves watching video footage and labeling or tagging specific objects, actions, or events within the video. This work is essential for training artificial intelligence and machine learning models, especially in areas like self-driving cars, security, and content moderation. Full-time annotators are expected to maintain high accuracy and consistency while working with large volumes of data. The job may require familiarity with specialized annotation tools, attention to detail, and sometimes, a basic understanding of the domain featured in the videos.

What are the key skills and qualifications needed to thrive as a full time video annotation specialist?

To thrive as a Full Time Video Annotation Specialist, you need strong attention to detail, familiarity with video formats, and basic computer literacy, often supported by a high school diploma or equivalent. Experience using annotation tools like CVAT, Labelbox, or VGG Image Annotator is typically required, and knowledge of data labeling standards is a plus. Excellent time management, communication skills, and the ability to focus for extended periods make someone stand out in this position. These skills and qualities are vital for producing accurate, high-quality datasets that power machine learning and AI applications.

What are some common challenges faced in a full time video annotation role, and how can they be addressed?

A common challenge in full-time video annotation is maintaining high accuracy and consistency while labeling large volumes of video data, which can be repetitive and mentally demanding. Annotators must stay focused to avoid errors, especially when distinguishing subtle differences between objects or actions across frames. To address these challenges, it's helpful to take regular short breaks, collaborate with teammates on ambiguous cases, and make use of detailed annotation guidelines provided by the employer. Many companies also offer feedback sessions and quality assurance checks to help annotators improve their work and learn best practices.

What is the difference between Full Time Video Annotation vs Data Labeling Specialist?

AspectFull Time Video AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; training in annotation toolsHigh school diploma or equivalent; training in labeling techniques
Work EnvironmentRemote or office-based, using annotation softwareRemote or office-based, using labeling platforms
Industry UsageAutonomous vehicles, AI training, surveillanceMachine learning, AI datasets, computer vision

Full Time Video Annotation involves detailed labeling of video data for AI training, often requiring specific software skills. Data Labeling Specialists focus on annotating various data types, including images and text. Both roles are essential in AI development, but Full Time Video Annotation emphasizes video-specific tasks and tools.

More about Full Time Video Annotation jobs

What cities are hiring for Full Time Video Annotation jobs?

Cities with the most Full Time Video Annotation job openings:

What are the most commonly searched types of Video Annotation jobs?

The most popular types of Video Annotation jobs are:

What states have the most Full Time Video Annotation jobs?

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Full Time Video Annotation jobs near you
Infographic showing various Full Time Video Annotation job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $59,788 per year, or $28.7 per hour.

Triage Analyst - Autonomous Vehicle Systems (Onsite)

Pittsburgh, PA • On-site

TRUCKING PEOPLE
Recruiting and Staffing Services • 11 - 50 employees
Learn more about TRUCKING PEOPLEexternal

$30 - $34/hr

Full-time

Re-posted 17 days ago

Job description

Triage Analyst - Autonomous Vehicle Systems (Onsite)
Location: Pittsburgh, PA, United States (Onsite)
Compensation: $30.00 - $34.00/hour
Schedule: Full-time, 30+ hours per week
Contact role | Two -stage onsite interview
Position Overview
We are hiring a skilled Triage Analyst to support Autonomy, Operations, and System Performance teams. This role is responsible for reviewing, annotating, classifying, and reporting on autonomous vehicle (AV) events derived from real-world driving and simulation data.
This is a fully onsite position. Candidates must be located in or able to commute to Pittsburgh, PA.
Key Responsibilities
  • Review and analyze events of interest from real-world autonomous driving and simulation environments
  • Annotate and label AV events with contextual metadata in accordance with Triage Policies and Operational Guidelines
  • Classify events by issue type, severity, and priority
  • Utilize data visualization and review tools, including video, numerical, and textual datasets
  • Collaborate with Autonomy Engineering, Operations, and Analytics teams
  • Generate, analyze, and present quantitative and qualitative performance reports
  • Ensure consistent and accurate application of documentation, workflows, and quality standards
  • Support operational triage processes critical to autonomous vehicle system validation

Required Qualifications (Must Have)
  • Strong analytical and problem-solving skills with the ability to apply complex operational or technical guidelines
  • Experience working in data analysis, operations, quality review, or technical annotation roles
  • Proficiency with Google Workspace / G Suite (Sheets, Docs, Slides) or equivalent productivity tools
  • Experience producing structured reports and performance summaries
  • Strong written and verbal communication skills
  • Ability to work effectively in a cross-functional, collaborative environment
  • High attention to detail and accuracy in policy-driven workflows

Preferred Qualifications (Nice to have)
  • Prior experience as a Triage Analyst, Data Annotation Analyst, Labeling Analyst, QA Analyst, or similar role
  • Experience within autonomous vehicles (AV), robotics, ADAS, or intelligent transportation systems
  • Familiarity with 2D/3D visualization, modeling, or simulation tools
  • Experience using custom internal web-based tools or operational platforms
  • Background in engineering support, operations analytics, or system performance analysis

How to Apply
Submit your updated CV and complete the screening questions. Qualified candidates will be contacted quickly through our automated response.
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About Trucking People

Sourced by ZipRecruiter

Trucking People, based in Houston, TX, US, operates within the transportation and logistics industry. The company primarily focuses on providing reliable trucking services across the country. Though the exact date of establishment is not explicitly mentioned, Trucking People has managed to secure a reputable position within the industry. The company's mission is to facilitate smooth logistics for businesses by ensuring the timely and safe delivery of goods.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Houston, TX, US

Year founded

2017

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