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Senior Video Annotation Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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)

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)

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 ...

Showing results 41-60

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 22, 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 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 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 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 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:

Infographic showing various Senior Video Annotation job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 17% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior AI Data Science Engineer

Intuitive Surgical

Sunnyvale, CA • On-site

$124K - $169K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Intuitive Surgical rating

8.7

Company rating: 8.7 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Company Description

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide.

We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.

If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.

Job Description

Primary Function of Position

Advancing embodied AI in robotic surgery requires high-quality data across the robotic platform, the surgical field, and the operating room environment. The Senior AI/Data Science Engineer will advance the data strategy and engineering that turns surgical data into curated, research-ready datasets for AI/ML teams building intelligent surgical systems.

Working within Intuitive's Future Forward research organization, you will make judgment calls about what data matters, drive the quality bar, and build the infrastructure that delivers research-ready datasets. This role calls for someone who is equally comfortable getting hands-on with data and designing systems that scale.

Roles and Responsibilities

  • Architect data models and build pipelines that process and integrate surgical data into well-structured datasets across the robotic platform, surgical field, and operating room environment.
  • Drive the data collection strategy: assess data coverage and plan collection approaches to address evolving research needs.
  • Own data quality frameworks including validation, anomaly detection, completeness metrics, and lineage tracking so datasets are reliable enough to support training of intelligent surgical systems.
  • Drive annotation workflows, including label taxonomy, tooling selection, and quality control, in collaboration with surgeons, clinical researchers, and domain experts.
  • Partner with AI/ML researchers to understand downstream requirements and deliver well-documented datasets ready for model development.
  • Build tooling that makes it easy for researchers to find, access, and work with surgical datasets.
  • Collaborate with surgeons, clinical research teams, robotics engineers, and systems engineers to understand how physical actions and perception translate into data, and ensure relevant signals are captured.
  • Contribute to the broader data strategy for embodied AI, including infrastructure and tooling recommendations aligned with research needs.
Qualifications

Qualifications

  • Master's degree in Computer Science, Data Science, Electrical Engineering, Robotics, or a related technical field with 6+ years of relevant experience, or PhD with 3+ years of relevant experience.
  • Strong proficiency in Python and SQL for data processing, transformation, and analysis, with familiarity across both relational and non-relational data stores.
  • Experience with distributed data processing or workflow orchestration frameworks (e.g., Spark, Airflow, or similar).
  • Track record of designing and building data pipelines for multi-modal datasets (video, time-series, sensor data, structured and unstructured data).
  • Demonstrated ability to set data quality standards and implement validation frameworks.
  • Experience working with multiple concurrent data streams from different sources and modalities.
  • Comfortable working with data that ranges from raw and unstructured to clean and production-grade.
  • Strong analytical and problem-solving skills in ambiguous, research-oriented environments where you shape the approach, not just execute it.
  • Clear communicator who can work across engineering, research, and clinical teams.

Preferred Qualifications

  • Background in healthcare, medical devices, surgical robotics, or other regulated technical domains.
  • Hands-on experience with computer vision data workflows.
  • Understanding of machine learning frameworks and how data quality and structure impact model performance.
  • Prior work interfacing with embedded systems teams to ingest on-device data streams into broader data infrastructure.
  • Practical experience with data annotation tools, workflows, and quality control at scale.
  • Familiarity with ML experiment tracking or data versioning tools (e.g., MLFlow, DVC, Weights & Biases).
  • Working knowledge of cloud data platforms, containerization (Docker, Kubernetes), and storage solutions.
  • Experience with robotics middleware, simulation environments, synthetic data generation, or 3D spatial data tooling.
  • Awareness of data governance in regulated environments (HIPAA, FDA).
Additional Information

Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19.  Details can vary by role.

Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.

Mandatory Notices

U.S. Export Controls Disclaimer:  In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.

Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).  

For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. 

We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.

Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.

This position may be filled at a different job level than listed here depending on
business need and/or on the selected candidate’s experience, knowledge and skills.
Compensation will be based primarily on the job level at which the role is filled and the
candidate’s qualifications, consistent with applicable law.

We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.

Base Salary Range Region 1:$178,800 - $257,200
Base Salary Range Region 2: $152,000 - $218,600
Shift: Day
Workplace Type: Onsite - This job is fully onsite.


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