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Full Time Video Annotation Jobs (NOW HIRING)

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Data Quality Analyst

San Jose, CA · On-site

$30/hr

Use proprietary annotation tools to label objects, poses, and interactions in images and video ... The US base salary range for this full-time position starts at $30/hr. The pay offered for this ...

digitalglobalservices

Computer Vision Engineer

Little Rock, AR · On-site +1

$106.90K - $126.10K/yr

Remote / On-site / Flexible Employment Type: Full-time Job Summary We are seeking a skilled ... Work with image and video datasets for preprocessing, augmentation, and annotation. Integrate ...

CloudDevs

AI Banking Tutor

Springfield, IL

$45/hr

This is a full-time opportunity suited for professionals with extensive experience in banking or ... annotation workflows, or technical environments Comfort recording short audio or video clips for ...

TRUCKING PEOPLE

Data Review Analyst

Pittsburgh, PA · On-site

$30 - $33/hr

Pittsburgh, PA Pay : $30.00 - $33.00 per hour Schedule : Full-time (Monday - Friday, 9:00 AM - 5:00 ... Review video, textual, and numerical data to assess AV performance * Process detailed guideline ...

TRUCKING PEOPLE

Data Review Analyst

Pittsburgh, PA · On-site

$30 - $33/hr

Pittsburgh, PA Pay : $30.00 - $33.00 per hour Schedule : Full-time (Monday - Friday, 9:00 AM - 5:00 ... Review video, textual, and numerical data to assess AV performance * Process detailed guideline ...

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Full Time Video Annotation information

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$26K

$59.8K

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

As of May 30, 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 are the key skills and qualifications needed to thrive as a Full Time Video Annotation Specialist, and why are they important?

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 a Full Time Video Annotation job?

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 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? States with the most job openings for Full Time Video Annotation jobs include:
What job categories do people searching Full Time Video Annotation jobs look for? The top searched job categories for Full Time Video Annotation jobs are:
Full Time Video Annotation jobs near you
Infographic showing various Full Time Video Annotation job openings in the United States as of May 2026, with employment types broken down into 87% Part Time, and 13% Contract. Highlights an 66% Physical, 17% Hybrid, and 17% Remote job distribution, with an average salary of $59,788 per year, or $28.7 per hour.
Data Annotation Specialist - South Bay, CA (On Site)

Data Annotation Specialist - South Bay, CA (On Site)

Welo Data

Menlo Park, CA

Full-time

Posted 16 days ago

Job description

OVERVIEW

Welo Data is looking for a skilled Data Analyst to join our team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance.

Project Details
Job Title: Data Analyst
Location: Bay Area, CA (Onsite)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee

Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time).

This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions.
Key Responsibilities
  • Test new AI products and provide actionable feedback to improve functionality and user experience.
  • Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines.
  • Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
  • Analyze data for consistency, relevancy, and alignment with project goals.
  • Perform quality control to identify and report anomalies, error patterns, and discrepancies.
  • Use basic data analysis methods to extract insights and support continuous improvement.
  • Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback.
Preferred Qualifications
  • University degree in linguistics, translation, or a related field.
  • 3-5 years of professional linguistics experience.
  • Strong analytical skills with the ability to detect patterns and anomalies.
  • Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
  • Adaptability to evolving priorities and project requirements.
Benefits
  • Paid Sick Time & Paid Holiday (combined): 15 days
  • Paid Holidays: Memorial Day and Labor Day
  • Medical Insurance (subject to eligibility requirements)
  • Dental Insurance
  • Vision Insurance
  • Health Savings Account (HSA)
  • Voluntary Life Insurance
  • Accident, Critical Illness, and Hospital Indemnity Insurance
  • Telemedicine Benefit
  • 401(k) Retirement Plan
  • Employee Assistance Program
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.