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Senior Medical Annotation Jobs (NOW HIRING)

Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements ... This position is eligible for company sponsored benefits, including medical, dental and vision ...

... seeking a Senior Technical Program Manager to lead Sesame's data collection and annotation ... Flexible spending account with employer matching up to $1,650/year (medical FSA) * Guardian ...

Senior Life Sciences Knowledge Engineer

$107K - $146K/yr

The datasets and annotation guidelines/frameworks that govern it will play a critical role in our ... Qualifications: * Graduate degree in life sciences, medical sciences, computer science or ...

Drive annotation workflows, including label taxonomy, tooling selection, and quality control, in ... Background in healthcare, medical devices, surgical robotics, or other regulated technical domains.

Senior AI Data Science Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Drive annotation workflows, including label taxonomy, tooling selection, and quality control, in ... Background in healthcare, medical devices, surgical robotics, or other regulated technical domains.

Experience in driving training data strategy, including defining data annotation guidelines ... medical, dental, vision, short-term disability insurance, and long-term disability insurance to ...

The team's large scale distributed Annotation platform enables current and future Apple ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

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Senior Medical Annotation information

See salary details

$25K

$80.3K

$163.5K

How much do senior medical annotation jobs pay per year?

As of Jul 21, 2026, the average yearly pay for senior medical 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 some common challenges faced by Senior Medical Annotation professionals, and how can they be managed?

Senior Medical Annotation professionals often encounter challenges such as handling large volumes of complex medical data, maintaining accuracy under tight deadlines, and keeping up with evolving medical terminologies. Managing these challenges requires strong attention to detail, effective use of annotation tools, and ongoing communication with clinical experts and data scientists. Continuous learning and collaboration within multidisciplinary teams help ensure high-quality outputs and foster professional growth within the field.

What is the difference between Senior Medical Annotation vs Medical Data Labeler?

AspectSenior Medical AnnotationMedical Data Labeler
CredentialsTypically requires healthcare background, medical terminology knowledge, and experience with annotation toolsOften requires basic computer skills, training in data labeling, but less healthcare-specific knowledge
Work EnvironmentRemote or on-site, working with complex medical datasets and annotation softwarePrimarily remote, focusing on labeling large volumes of medical images or text
Industry UsageUsed in AI development for healthcare, medical research, and clinical data projectsUsed in machine learning datasets creation, quality control, and data preparation

Senior Medical Annotation professionals typically have healthcare experience and handle complex annotations, while Medical Data Labelers focus on large-scale data labeling tasks with less healthcare-specific expertise. Both roles are essential in AI healthcare projects but differ in complexity and required background.

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

To thrive as a Senior Medical Annotation Specialist, you need in-depth knowledge of medical terminology, clinical guidelines, and experience with healthcare data, usually supported by a degree in a life science or healthcare field. Familiarity with annotation tools, electronic health records (EHR) systems, and data labeling platforms is typically required, along with certifications in medical coding or informatics. Strong attention to detail, analytical thinking, and effective communication are crucial soft skills for quality assurance and teamwork. These skills ensure the accuracy and reliability of annotated medical data, which is essential for healthcare research, AI development, and clinical decision-making.

What are Senior Medical Annotation specialists?

Senior Medical Annotation specialists are experienced professionals who review and label medical data, such as clinical notes, images, or audio, to ensure it is accurately structured for use in research, artificial intelligence, or healthcare analytics. They have in-depth knowledge of medical terminology and guidelines, allowing them to provide high-quality, consistent annotations. Their work is critical in training and validating AI models for tasks like disease detection or medical record organization. Senior specialists often lead annotation teams, provide quality control, and help develop annotation protocols.
More about Senior Medical Annotation jobs
What cities are hiring for Senior Medical Annotation jobs? Cities with the most Senior Medical Annotation job openings:
What are the most commonly searched types of Medical Annotation jobs? The most popular types of Medical Annotation jobs are:
What states have the most Senior Medical Annotation jobs? States with the most job openings for Senior Medical Annotation jobs include:
Infographic showing various Senior Medical Annotation job openings in the United States as of July 2026, with employment types broken down into 9% Locum Tenens, 3% Full Time, 4% Part Time, 71% Contract, and 13% Nights. Highlights an 4% Physical, and 96% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.
Senior Data Scientist

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Job description

Company Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

We are seeking a Senior Data Scientist with experience manipulating large 2D and 3D media datasets. This role is centered on bridging the gap between raw data and high-quality machine learning inputs, requiring a blend of technical expertise and cross-functional leadership.

Key Responsibilities

  • Cross-Functional Coordination: Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements.
  • Data Strategy & Pipeline Oversight: Ensure that datasets are correctly curated, filtered, and processed to meet the rigorous standards of production-level machine learning.
  • Requirements Translation: Act as a technical translator, taking high-level project goals and turning them into actionable data specs for engineering and annotation teams.
  • Quality Assurance & Analysis: Maintain high standards for data integrity, ensuring that the media datasets used for training are representative and accurate.
Qualifications
  • Master's Degree or certification in Data Science or related computational sciences field.
  • 3+ years of relevant industry experience in a fast paced, high growth tech environment.
  • Professional Experience: Proven experience as a Data Scientist in a fast-paced environment.
  • Domain Context: Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace.
  • Technical Proficiency:
    • Core Tools: Fluency with Python, Git, and the Unix shell.
    • Ecosystem: Familiarity with collaborative tools such as Jira/Confluence, Slack, a Git server, and an experiment tracking framework.
    • Data Visualization: Familiarity with data visualization and inspection tools specifically designed for computer vision and 3D data, such as FiftyOne.
    • Fundamentals: Deep understanding of data science fundamentals and a strong mathematical background.
  • Attributes:
    • Conscientiousness: High attention to detail and commitment to data accuracy.
    • Communication: Ability to collaborate effectively across different engineering disciplines to define and execute technical requirements.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $120,000 - 150,000

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. 

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing [email protected].

For LA County and City Residents Only:  NBCUniversal will consider for employment  qualified applicants with criminal histories, or arrest or conviction records, in a manner  consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.