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Senior Video Annotation Jobs (NOW HIRING)

Sorenson

Senior Sign Language Specialist

Salt Lake City, UT · On-site +1

$66K/yr

Annotate ASL video using advanced gloss conventions, including classifier predicates (locative ... Maintain accurate records of annotation work, decisions, and edge cases in team tooling and ...

Intuitive

Senior AI Data Science Engineer

Sunnyvale, CA

$124K - $169K/yr

Drive annotation workflows, including label taxonomy, tooling selection, and quality control, in ... Track record of designing and building data pipelines for multi-modal datasets (video, time-series ...

Intuitive

Senior AI Data Science Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Drive annotation workflows, including label taxonomy, tooling selection, and quality control, in ... Track record of designing and building data pipelines for multi-modal datasets (video, time-series ...

LVT

Staff Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

This is a senior individual-contributor and technical-leadership role; formal people management is ... Computer-vision / video annotation tooling and workflows (e.g. Encord, Labelbox, or similar)

LVT

Staff Data Engineer

Seattle, WA

$130K - $156K/yr

This is a senior individual-contributor and technical-leadership role; formal people management is ... Computer-vision / video annotation tooling and workflows (e.g. Encord, Labelbox, or similar)

Mill

AI Engineer, Computer Vision

San Bruno, CA · On-site

This is a hands-on senior IC role for someone who's equally comfortable fine-tuning a segmentation ... video segmentation) * Experience with foundation models for data annotation * Experience with MLOps ...

Mill

AI Engineer, Computer Vision

San Bruno, CA · On-site

This is a hands-on senior IC role for someone who's equally comfortable fine-tuning a segmentation ... video segmentation) * Experience with foundation models for data annotation * Experience with MLOps ...

Side

Director of Datasets

Senior Director of Audio & Datasets About the Role As Side continues to expand its Datasets ... video, transcription, annotation, multimodal and crowdsourced data collection. This is a highly ...

DYNA Robotics Inc

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

This is a senior individual contributor role that focuses on strategy rather than managing ... Exposure to annotation tooling such as Labelbox, Scale, CVAT, Encord, or Voxel51.

CaptionCall

Sign Language Specialist

Salt Lake City, UT · On-site

$27.74 - $46.30/hr

Annotate sign language video content, adding linguistic labels and metadata to raw video. * Help ... Experience 2 Years of substantive professional ASL work (annotation, linguistics, interpreting ...

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Senior Video Annotation information

See salary details

$25K

$80.3K

$163.5K

How much do senior video annotation jobs pay per year?

As of Aug 2, 2026, the average yearly pay for senior video annotation in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

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

To excel as a Senior Video Annotation Specialist, you need advanced skills in data labeling, attention to detail, and experience with video annotation tools, often supported by a degree in computer science or a related field. Familiarity with annotation platforms like CVAT, Labelbox, or VGG Image Annotator, and understanding of basic machine learning concepts, are typically required. Strong organizational skills, problem-solving abilities, and effective communication help ensure accuracy and seamless collaboration with data science teams. These competencies are vital for producing high-quality annotated datasets that drive the performance of computer vision models.

What skills do you need for video annotation?

Senior Video Annotation roles require strong attention to detail, good visual perception, and the ability to accurately identify and label objects, actions, and scenes in videos. Familiarity with annotation tools and basic understanding of video formats and data management are also important. Additionally, skills in time management and the ability to work efficiently under deadlines are valuable.

Is video annotation hard?

Video annotation as a senior role involves attention to detail and understanding of annotation tools, which can require training and practice. The difficulty depends on the complexity of the project and the precision needed, but it generally involves repetitive tasks that demand focus and accuracy. Familiarity with software and clear guidelines can help streamline the process.

What are some common challenges faced by Senior Video Annotation professionals, and how can they be addressed?

Senior Video Annotation professionals often encounter challenges such as maintaining consistency in labeling complex visual data, meeting tight project deadlines, and managing large volumes of video content. To address these issues, it's important to establish clear annotation guidelines, utilize efficient annotation tools, and foster open communication within the annotation team. Regular training and quality assurance checks can also help ensure high accuracy and efficiency, positioning team members for leadership and quality control roles as they advance.

What does a video annotator do?

A video annotator is responsible for labeling and tagging objects, actions, and other relevant features within video footage to help train machine learning models. They use specialized tools to ensure accurate and consistent annotations, often working with guidelines and quality standards. This role requires attention to detail and familiarity with annotation software or platforms.

What is a Senior Video Annotation?

A Senior Video Annotation specialist is a professional responsible for labeling, tagging, and categorizing objects or actions within video data, often for use in machine learning and artificial intelligence projects. They oversee and guide annotation teams, ensure high-quality data labeling, and help develop guidelines and best practices. Their expertise is crucial for training accurate computer vision models, as they provide the ground truth data that algorithms learn from.

What is the highest salary for data annotator?

The highest salaries for senior video annotation roles can reach up to $70,000 to $90,000 annually, depending on experience, location, and the complexity of annotation tasks. Advanced skills in tools like CVAT or Labelbox and certifications can contribute to higher compensation in this field.

What is the difference between Senior Video Annotation vs Video Labeler?

AspectSenior Video AnnotationVideo Labeler
Required CredentialsTypically requires experience in annotation tools, basic understanding of video content, and sometimes a degree in related fieldsUsually requires familiarity with labeling software and basic video content understanding, but less experience needed
Work EnvironmentOften part of a team working on complex projects, possibly remote or in-officeTypically focused on individual tasks, often remote, with repetitive labeling work
Employer & Industry UsageUsed in AI/ML companies, autonomous vehicle development, and tech firmsCommon in data annotation companies, AI startups, and research labs

Senior Video Annotation roles involve more complex tasks, oversight, and experience, while Video Labelers focus on basic labeling tasks. The senior role often requires a deeper understanding of video content and annotation tools, making it suitable for those with more experience. Both roles are essential in AI data preparation but differ in scope and responsibility.

More about Senior Video Annotation jobs
What cities are hiring for Senior Video Annotation jobs? Cities with the most Senior 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 Senior Video Annotation jobs? States with the most job openings for Senior Video Annotation jobs include:
What job categories do people searching Senior Video Annotation jobs look for? The top searched job categories for Senior Video Annotation jobs are:
Senior Video Annotation jobs near you
Infographic showing various Senior Video Annotation job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 38% Full Time, 46% Part Time, 2% Contract, and 12% Nights. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Machine Learning Data Engineer - Cambridge

Motion Recruitment

Cambridge, MA • On-site

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Job Description

A fast-growing robotics company is seeking a Senior Machine Learning Data Engineer to help develop the data foundation that powers intelligent robotic systems operating in high-throughput logistics environments. The organization builds AI-driven automation solutions that leverage computer vision, machine learning, and robotic manipulation to solve complex real-world challenges involving package handling, object identification, and operational optimization. 

As a Senior Machine Learning Data Engineer, you will focus on the collection, preparation, management, and delivery of data used to train, evaluate, and improve machine learning models. Unlike traditional data engineering positions that concentrate on analytics, reporting, or platform infrastructure, this role is centered on enabling AI and computer vision teams to build more accurate and effective robotic systems.

You will work closely with machine learning engineers, roboticists, software developers, and product teams to create scalable data pipelines capable of handling large volumes of image, video, sensor, and operational data. The ideal candidate enjoys solving challenges surrounding data labeling, feature generation, model training datasets, data versioning, and machine learning infrastructure. This role offers the opportunity to directly influence how AI systems learn and improve within a cutting-edge robotics environment.

Required Skills & Experience

  • Strong proficiency with Python and SQL

  • Experience building data pipelines for machine learning workloads

  • Experience working with large-scale image, video, or sensor datasets

  • Knowledge of data processing frameworks such as Spark or Ray

  • Experience with cloud platforms such as AWS

  • Understanding of data modeling and storage solutions for ML applications

  • Experience building ETL workflows and automation solutions

  • Familiarity with machine learning lifecycle concepts

  • Experience with version control and software engineering best practices

  • Strong problem-solving and analytical skills

Desired Skills & Experience

  • 5+ years of Data Engineering or Machine Learning Infrastructure experience

  • Experience supporting computer vision or AI-focused teams

  • Robotics, automation, or industrial technology experience

  • Familiarity with model training workflows and feature engineering

  • Experience with annotation platforms and data labeling operations

  • Knowledge of MLOps tools and practices

  • Experience working with unstructured datasets

  • Bachelor's degree in Computer Science, Data Engineering, Engineering, Mathematics, or a related field

What You Will Be Doing

Daily Responsibilities

  • 100% Hands On

  • Build and maintain machine learning data pipelines supporting robotics and AI initiatives

  • Develop processes that prepare image, video, and sensor datasets for model training

  • Partner with machine learning teams to improve the quality and accessibility of training data

  • Design scalable storage and retrieval solutions for large unstructured datasets

  • Create data validation processes that improve model reliability and performance

  • Support feature engineering, experimentation, and dataset generation workflows

  • Implement automation that reduces manual effort in data preparation and curation

  • Monitor data pipelines and resolve issues impacting model development

  • Optimize data processing workflows for performance and scalability

  • Contribute to the evolution of machine learning infrastructure and data best practices

The Offer

  • Bonus OR Commission eligible

You will receive the following benefits

  • Medical Insurance

  • Dental Benefits

  • Vision Benefits

  • Paid Time Off (PTO)

  • 401(k) (including match, if applicable)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Apply