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Senior Medical Annotation Jobs (NOW HIRING)

Machine Learning Engineer, Perception

Columbus, OH ยท On-site +1

$100.90K - $138.60K/yr

We currently have experienced (L3/L4), senior (L5) and staff (L6) level openings within and you'll ... Define and own the end-to-end ML lifecycle, from dataset design and annotation strategy through ...

... 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 ...

... and annotation. ยท Optimize and deploy models to resource-constrained edge hardware (CPU-only and ... or medical imaging). ยท Strong background in computer vision and temporal modeling (CNNs ...

Internal Tools (Front-End)

Palo Alto, CA ยท On-site

$180K - $440K/yr

ABOUT THE ROLE We are looking for a Senior Frontend Engineer with strong full-stack instincts to ... Starfleet - Our Human Data Collection Platform (large-scale annotation, labeling, quality control ...

Senior Software Engineer, Backend

Seattle, WA ยท On-site

$139.50K - $258.10K/yr

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 ...

Senior AI Underwriter

Austin, TX ยท On-site +1

$100K - $120K/yr

Provide training and ongoing guidance to annotation teams; perform continuous quality assurance on ... Medical, dental, and vision coverage for you and your dependents * HSA with company contributions ...

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Senior Medical Annotation information

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$25K

$80.3K

$163.5K

How much do senior medical annotation jobs pay per year?

As of Jun 2, 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 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 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 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.

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.

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 May 2026, with employment types broken down into 5% As Needed, 91% Full Time, 2% Temporary, and 2% Contract. 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 Researcher

Tocaro Blue

Birmingham, AL โ€ข On-site, Remote

$132K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description


Location: Southeastern United States (Hybrid/Remote)
Transform Maritime Intelligence with Cutting-Edge AI/ML
Are you an experienced machine learning researcher ready to push the limits of AI in one of the toughest domains-maritime autonomy? At Tocaro Blue, your expertise in designing, training, and deploying custom ML models will directly advance our foundational perception stack, ProteusCore.
As a Senior ML Researcher, you will be the lead architect of Radar (and secondary EO/IR) models for object detection, semantic segmentation, and tracking. You'll design algorithms capable of distinguishing vessels, land, shoreline constructions, wakes, and markers in dynamic maritime environments where off-the-shelf models fall short.
Your work will fuel products used by:
* Defense customers developing USVs/ASVs for the U.S. Navy.
* Commercial OEMs bringing advanced marine ADAS and autopilot features to market.
This role is an opportunity to define the ML foundations of maritime autonomy-where perception evolves from situational awareness, to navigation assistance, to full autonomy.
What You'll Pioneer
Core ML and Autonomy Innovation
* Invent and refine custom deep learning architectures for Radar and EO/IR imagery, with an emphasis on semantic segmentation and temporal tracking, not just detection.
* Develop multi-stage ML pipelines (context + characteristic models, segmentation + classification) tailored to low-SNR Radar returns.
* Train models on proprietary large-scale datasets (millions of Radar samples and camera sequences) with design-of-experiment methods for data collection and annotation.
* Optimize and deploy models to resource-constrained edge hardware (CPU-only and ARM64 platforms), including C++ inference layers.
* Advance fusion-aware ML models that integrate Radar with EO/IR, AIS, and cartography for robust classification in GPS-denied or cluttered environments.
* Collaborate with fusion and autonomy engineers to ensure ML outputs integrate seamlessly into multi-target tracking and SLAM pipelines.
* Contribute to ML-Ops workflows: data management, large-scale training, continuous integration of new field data, and automated evaluation pipelines.
What Sets You Apart
Essential Qualifications
* Advanced degree (MS/PhD) in Electrical Engineering, Computer Science, Robotics, or related field.
* 7+ years applying machine learning and signal processing to real-world dynamic systems (graduate research counts if directly applicable).
* Demonstrated mastery of semantic segmentation and object classification models, ideally applied to non-vision sensor modalities.
* Expert-level Python skills with ML frameworks (TensorFlow/Keras, PyTorch, or equivalent).
Preferred Expertise
* Track record of developing ML models beyond standard YOLO-style detectors, particularly for segmentation of noisy or sparse data (Radar, sonar, or medical imaging).
* Strong background in computer vision and temporal modeling (CNNs, transformers, RNNs for sequential sensor data).
* Experience deploying ML to embedded/edge platforms with optimized C++ inference.
* Knowledge of marine, automotive, or aerial robotics systems.
* Contributions to large-scale ML data pipelines: annotation strategies, dataset balancing, simulation-to-real transfer.
* Passion for pushing the boundaries of AI in GPS-denied, cluttered, and low-visibility environments .
Why Tocaro Blue?
Competitive Compensation & Growth
* $132,000-$160,000 base salary with potential equity in a rapidly growing company.
* Comprehensive benefits: 401(k) with 4% company matching, full health/dental/vision, life & disability insurance, generous PTO.
* Continuous learning via conferences, training, and professional growth.
Innovation-First Culture
* Direct impact on defining the AI backbone of maritime autonomy.
* Work on problems unsolved in automotive AI: Radar segmentation, maritime multi-object tracking, sensor fusion in GPS-denied waters.
* Collaborative environment with elite engineers and researchers.
* Hands-on field validation through monthly data collection trips at our Pensacola test facility.
* A culture that balances innovation with personal growth.
Equal Opportunity & Eligibility
Tocaro Blue, LLC is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Individual offers are based are made based on skill and experience, geographic location, as well as role, responsibility, and leadership within the company, and other due diligence. Our hiring team will try to determine whether each candidate fits the job description and may choose, at their discretion, to redirect a candidate to another job offering that is more appropriate.
NOTICE: All candidates for this role must be eligible to access sensitive information and items that requires "US Person status", which is typically limited to U.S. citizens and legal permanent residents (a.k.a. green card holders), with few exceptions. Tocaro Blue LLC is not able to sponsor work visas for this role.