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Assistant Video Annotation Jobs (NOW HIRING)

... Assist in designing and improving efficient annotation tools tailored for healthcare and ... video sessions for data collection. • Familiarity with AI or data annotation workflows in a ...

... Assist in designing and improving efficient annotation tools tailored for healthcare and ... video sessions for data collection. • Familiarity with AI or data annotation workflows in a ...

... Assist in designing and improving efficient annotation tools tailored for legal and compliance data ... video sessions for data collection. • Familiarity with AI or data annotation workflows in a ...

... * Assist in designing and improving efficient annotation tools tailored for legal and compliance ... Comfort with recording audio or video sessions for data collection. * Familiarity with AI or data ...

... powered shopping assistant. Rufus makes it easy for customers to find and discover the best ... BASIC QUALIFICATIONS - Experience in natural language data labeling, data annotation, linguistic ...

... * Assist in designing and improving efficient annotation tools tailored for healthcare and ... Comfort with recording audio or video sessions for data collection. * Familiarity with AI or data ...

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Assistant Video Annotation information

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$10

$24

$48

How much do assistant video annotation jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for assistant video annotation in the United States is $24.75, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $29.33 per hour, depending on experience, location, and employer.

Are data annotations still hiring?

Data annotation roles, including assistant video annotation, are still in demand as companies continue to develop AI and machine learning models. These jobs often require attention to detail and familiarity with annotation tools, and they are frequently available as remote or flexible positions. Hiring trends can vary based on industry needs and technological advancements.

Is video annotation hard?

Video annotation as an assistant job involves labeling moving images accurately, which requires attention to detail and some familiarity with annotation tools. The difficulty depends on the complexity of the tasks and the worker's experience, but it generally involves repetitive work that can be learned with training and practice.

What is the difference between Assistant Video Annotation vs Video Labeling Specialist?

AspectAssistant Video AnnotationVideo Labeling Specialist
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma; experience with labeling tools
Work EnvironmentRemote or office-based; collaborative teamsPrimarily remote; focused on data annotation tasks
Industry UsageUsed in AI training, autonomous vehicles, and tech companiesCommon in AI, machine learning, and data annotation firms
Job FocusAssisting with video annotation tasks, following guidelinesPerforming detailed labeling of video data for model training

Assistant Video Annotation roles typically involve supporting annotation tasks under supervision, focusing on following guidelines. Video Labeling Specialists often handle more detailed, independent labeling work. Both roles are essential in AI data preparation but differ in scope and experience requirements.

What are Assistant Video Annotation jobs?

Assistant Video Annotation jobs involve helping to label, tag, or identify specific elements within video content. This work is crucial for training artificial intelligence and machine learning models that rely on accurately annotated video data. Assistants may mark objects, actions, timestamps, or other important features within video frames. These positions often require attention to detail, basic computer skills, and sometimes familiarity with specialized annotation tools. Such roles are commonly found in tech companies, research institutions, or organizations developing AI-driven products.

What are some typical challenges faced by Assistant Video Annotation professionals, and how can they be managed?

Assistant Video Annotation professionals often encounter challenges such as handling large volumes of video data, maintaining high accuracy in labeling frames, and adhering to tight project deadlines. Managing these challenges requires strong attention to detail, effective use of annotation tools, and good communication with team members to clarify guidelines. Regular feedback sessions and a well-organized workflow also help ensure consistency and efficiency in annotations.

What are the key skills and qualifications needed to thrive as an Assistant Video Annotation Specialist, and why are they important?

To thrive as an Assistant Video Annotation Specialist, you need attention to detail, familiarity with basic video editing or labeling tools, and the ability to accurately interpret instructions, often supported by a high school diploma or equivalent. Experience with annotation platforms like CVAT, Labelbox, or VGG Image Annotator, and basic understanding of file formats are typically required. Strong organizational skills, patience, and the ability to work independently enhance performance in this repetitive and quality-focused role. These skills are crucial because precise annotation directly impacts the effectiveness of machine learning models and project outcomes.

What does a video annotator do?

A video annotator is responsible for labeling and tagging objects, actions, and other relevant data within video footage to help train machine learning models. They use specialized tools to ensure accuracy and consistency, often working with guidelines and quality standards. This role requires attention to detail and knowledge of annotation software.

How much does an AI annotator make?

AI annotators, including those in assistant video annotation roles, typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Many positions are entry-level and may require familiarity with annotation tools and attention to detail.
What cities are hiring for Assistant Video Annotation jobs? Cities with the most Assistant 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 Assistant Video Annotation jobs? States with the most job openings for Assistant Video Annotation jobs include:
What job categories do people searching Assistant Video Annotation jobs look for? The top searched job categories for Assistant Video Annotation jobs are:
Infographic showing various Assistant Video Annotation job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $51,476 per year, or $24.7 per hour.

Creative Writing Generative AI Analyst - USA (Remote)

Welo Global

Remote

$28.80/hr

Full-time

Posted 26 days ago


Job description

About the Role
We are hiring Creative Writing Generative AI Analysts in the United States to perform annotation efforts of multimedia and language data labeling and review work (e.g., video, images, and related metadata). This role focuses on annotation, data quality, prompt evaluation, and the creation of high-quality datasets used to train and improve generative AI models.
Project Details
  • Job Title: Creative Writing Generative AI Analyst
  • Location: Remote, USA
  • Hours: 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Pay Rate: $28.80/hour

What You'll Do
  • Perform annotation and labeling tasks for generative AI datasets, including text, image, video, and multimodal content
  • Create, review, and evaluate prompts and responses across a variety of domains and use cases
  • Conduct quality assurance reviews to ensure annotation accuracy, consistency, and adherence to guidelines
  • Assist in developing and refining annotation guidelines and evaluation criteria
  • Support data collection, categorization, tagging, and evaluation workflows for machine learning systems
  • Identify edge cases, inconsistencies, and quality issues within datasets and model outputs
  • Collaborate with internal teams and external partners to improve annotation quality and operational efficiency
  • Provide feedback on workflows, tooling, and annotation processes

Requirements:
  • Native level proficiency English with excellent written and verbal communication skills.
  • Work Authorization is required for the role.
  • Strong attention to detail and ability to follow complex annotation guidelines
  • Interest in creative writing, generative AI, machine learning, and emerging AI technologies
  • Experience with data annotation, content evaluation, labeling operations, or quality review workflows preferred
  • Bachelor's degree or equivalent practical experience

Ways to Stand Out from the Crowd
  • Familiarity with generative AI systems, large language models, RLHF, or multimodal AI workflows
  • Domain knowledge in Law/Medical/Math/Coding/etc is a plus
  • Bilingual proficiency is a plus (Korean, Japanese, Mandarin, Spanish, German, or French)
  • Experience annotating prompts, responses, images, video sequences, or other AI training data
  • QA/testing experience within AI, data operations, or content review environments
  • Experience working with evaluation rubrics, taxonomy development, or dataset quality initiatives
  • Python or scripting experience is a plus

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.