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Dental Annotation Jobs in San Ramon, CA (NOW HIRING)

RoboForce

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

Recruit, develop, and retain a 20-50 person team across data collection, annotation, and ... Health, dental, and vision insurance, 401(k) plan. * Visa sponsorship and green card support for ...

RoboForce

AI Data Operations Lead

Milpitas, CA

$145K - $205K/yr

Recruit, develop, and retain a 20-50 person team across data collection, annotation, and ... Health, dental, and vision insurance, 401(k) plan. * Visa sponsorship and green card support for ...

Retell AI

Senior Language Engineer

San Francisco, CA · On-site

$200K - $290K/yr

Coordinate and manage a human annotation workforce: author guidelines, define quality targets, and ... OTHER BENEFITS * 100% coverage for medical, dental, and vision insurance * $70/day DoorDash credit ...

Visa Hunt

Senior Language Engineer

San Francisco, CA · On-site

$200 - $290/hr

Coordinate and manage a human annotation workforce: author guidelines, define quality targets, and ... OTHER BENEFITS * 100% coverage for medical, dental, and vision insurance * $70/day DoorDash credit ...

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Senior UX Researcher, Handshake Al

San Francisco, CA · On-site

$90 - $120/hr

... annotation platforms to AI interviewers and seamless payout infrastructure--all designed to ... Medical, dental, and vision, mental health support, $500 wellness stipend * Growth: $2,000 learning ...

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Showing results 41-60

All JobsDental Annotation JobsDental Annotation Jobs in San Ramon, CA

Dental Annotation information

See San Ramon, CA salary details

$66.5K

$212.3K

$377.7K

How much do dental annotation jobs pay per year?

As of Aug 22, 2026, the average yearly pay for dental annotation in San Ramon, CA is $212,306.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,400.00 and $263,700.00 per year, depending on experience, location, and employer.

What is dental annotation?

Dental annotation is the process of labeling and marking dental images, such as X-rays or photographs, to identify specific structures, pathologies, or features. This is commonly used in dental research, machine learning, and artificial intelligence to train algorithms to recognize teeth, cavities, and other dental conditions. Dental annotators must have a good understanding of dental anatomy and use specialized software tools to ensure accuracy. The annotated data is essential for developing automated diagnostic tools and improving dental care outcomes.

What are the key skills and qualifications needed to thrive as a dental annotation specialist?

To thrive as a Dental Annotation Specialist, you need a strong understanding of dental anatomy, familiarity with dental imaging, and attention to detail, often supported by a background in dental hygiene or dentistry. Proficiency with dental annotation software, image analysis tools, and sometimes knowledge of DICOM imaging standards is typically required. Strong analytical skills, problem-solving abilities, and clear communication help ensure high-quality data labeling and effective collaboration with dental professionals or AI teams. These skills are crucial for generating accurate and reliable annotations that support advancements in dental diagnostics and machine learning applications.

What types of data and tools do dental annotation specialists typically work with, and how does this impact daily workflow?

Dental Annotation specialists usually work with dental X-rays, 3D scans, and intraoral images, using specialized annotation software to label anatomical structures, pathologies, and dental treatments. Familiarity with dental terminology and imaging techniques is important, as accuracy directly impacts the development of AI-powered diagnostic tools. Daily tasks often involve collaborating with dental professionals to validate annotations and ensure data quality, and there may be regular team meetings to review guidelines or address challenges. This role offers exposure to advanced dental technologies and can lead to growth opportunities in dental informatics or AI research.

What is the difference between Dental Annotation vs Dental Coding?

AspectDental AnnotationDental Coding
Required CredentialsDental training, annotation experienceDental certification, coding certification
Work EnvironmentDental offices, imaging centersInsurance companies, billing departments
Industry UsageAnnotating dental images and recordsAssigning codes for procedures and diagnoses

Dental Annotation involves marking and labeling dental images and records to assist in diagnosis and treatment planning. Dental Coding focuses on translating dental procedures and diagnoses into standardized codes for billing and insurance purposes. While both roles require dental knowledge, annotation emphasizes image and record labeling, whereas coding centers on procedural documentation for reimbursement.

What job categories do people searching Dental Annotation jobs in San Ramon, CA look for?

The top searched job categories for Dental Annotation jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Dental Annotation jobs?

Cities near San Ramon, CA with the most Dental Annotation job openings:

Dental Annotation jobs near you
Infographic showing various Dental Annotation job openings in San Ramon, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $212,306 per year, or $102.1 per hour.

Senior / Staff AI Research Engineer, Data Infrastructure

RoboForce

Milpitas, CA • On-site

$185K - $325K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 13 days ago

Job description

Why RoboForce

RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.
 
We are looking for a Senior / Staff AI Research Engineer, Data Infrastructure to build the data and learning engine behind RoboForce's Physical AI stack. In this role, you will own the full pipeline - from raw teleoperation and UMI device data collection through curation, annotation, and storage, to post-training infrastructure that scores demonstrations, identifies failure patterns, and closes the loop back into model retraining.
 
Responsibilities
  • Design and maintain end-to-end data collection pipelines ingesting multimodal demonstration data from teleoperation devices and UMI hardware, including synchronization, versioning, and distributed storage at scale.
  • Build annotation tooling and data curation workflows - quality filtering, deduplication, episode scoring, and domain reweighting - to produce high-quality training datasets for robot policy learning.
  • Develop post-SFT reinforcement learning infrastructure: implement reward scoring on demonstrations, mine and categorize failure patterns, and feed curated failure data back into the retraining loop.
  • Build evaluation and test infrastructure to log policy rollouts on-robot, capture structured results, and surface actionable diagnostics for the research team.
  • Collaborate with ML researchers to define data schemas, episode formats, and pipeline interfaces that support rapid iteration on VLA and manipulation policy training.
  • Architect scalable storage and retrieval systems for heterogeneous robot data (vision, proprioception, action, language) across both cloud and on-prem environments.
Requirements
  • Bachelor's or Master's degree in Computer Science, Robotics, or related field with 5+ years of experience.
  • Strong proficiency in Python and experience building production-grade data pipelines and ETL systems.
  • Hands-on experience with large-scale dataset management, including versioning, deduplication, quality filtering, and distributed storage (e.g., S3, GCS, HDF5, WebDataset, Zarr).
  • Experience building or working with post-training infrastructure - SFT pipelines, reward modeling, or RL training loops (e.g., PPO, DPO, rejection sampling).
  • Familiarity with deep learning frameworks (PyTorch, JAX) and ML training workflows sufficient to collaborate tightly with research teams.
  • Requires 5 days/week in-office collaboration with the teams.
Bonus Qualifications
  • Experience with robotics data collection hardware - teleoperation devices, UMI, GELLO, or similar - and the synchronization and preprocessing challenges they introduce.
  • Familiarity with robot learning pipelines: imitation learning, behavior cloning, or VLA/VLM fine-tuning workflows.
  • Experience building evaluation or experiment tracking infrastructure (e.g., Weights & Biases, MLflow, custom rollout loggers).
  • Proven ability to design annotation tooling or human-in-the-loop labeling systems for structured or multimodal data.
Benefits
  • Competitive stock options/equity programs.
  • Health, dental, and vision insurance, 401(k) plan.
  • Visa sponsorship and green card support for qualified candidates.
  • Lunches and dinners, a fully stocked kitchen, and regular team-building events.
 
Compensation: Salary $185,000-$325,000 USD + Bonus + Equity
 
The base salary range above represents the expected compensation for this full-time U.S. position. Final compensation will be determined based on role scope, level, location, job-related skills, experience, and relevant education or training, and may fall outside the listed range in exceptional cases. 

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