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Annotation Math Jobs in San Jose, CA (NOW HIRING)

Abbott

Principal AI/ML Engineer

Santa Clara, CA

Lead end-to-end MLsolutionsdevelopment and delivery, including data ingestion,annotation,feature ... BachelorsDegreein Computer Science, Engineering Mathematics, or related field. * Minimum 10+ years ...

Abbott

Principal AI/ML Engineer

Santa Clara, CA · On-site

Lead end-to-end MLsolutionsdevelopment and delivery, including data ingestion,annotation,feature ... BachelorsDegreein Computer Science, Engineering Mathematics, or related field. * Minimum 10+ years ...

Moneta Ventures

Technical Architect

San Ramon, CA · On-site

$214 - $215/hr

Design and develop components that enable user annotation of business data to improve the system ... using mathematical models. Build user interface and natural language capabilities for the next ...

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Showing results 21-40

All JobsAnnotation Math JobsAnnotation Math Jobs in San Jose, CA

Annotation Math information

See San Jose, CA salary details

$26.4K

$69K

$110.8K

How much do annotation math jobs pay per year?

As of Aug 15, 2026, the average yearly pay for annotation math in San Jose, CA is $68,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,700.00 and $82,000.00 per year, depending on experience, location, and employer.

What is the difference between Annotation Math vs Data Annotator?

AspectAnnotation MathData Annotator
Required CredentialsBasic education, sometimes specialized training in annotation toolsHigh school diploma or equivalent, on-the-job training
Work EnvironmentData labeling teams, tech companies, remote or onsiteData labeling teams, tech companies, remote or onsite
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Common Search IntentUnderstanding roles related to data annotation and mathComparing data annotation jobs

Annotation Math and Data Annotator roles both involve data labeling within AI and machine learning industries. Annotation Math may focus more on mathematical annotations, while Data Annotator generally covers broader data labeling tasks. Both roles often share similar work environments and required skills, making them closely related in the data annotation field.

What is an annotation math job?

Annotation Math jobs involve labeling, tagging, and categorizing mathematical data, such as equations, formulas, graphs, or written math problems, to create high-quality datasets. These annotated datasets are often used to train artificial intelligence (AI) and machine learning models to recognize and process mathematical content accurately. Annotation Math professionals need a strong understanding of mathematics, attention to detail, and familiarity with annotation tools or platforms. This work is critical for improving technologies like automated math solvers, educational apps, and document digitization.

What are the key skills and qualifications needed to thrive as an annotation math specialist, and why are they important?

To thrive as an Annotation Math Specialist, you need a solid understanding of mathematics, attention to detail, and familiarity with educational or assessment standards, often supported by a relevant degree. Proficiency with annotation tools, data labeling platforms, and sometimes LaTeX or similar mathematical typesetting systems is typically required. Strong analytical thinking, communication, and the ability to work independently are essential soft skills for accuracy and consistency. These skills and qualities are crucial to ensure high-quality, precise annotations that support machine learning, educational resources, or assessment development.

What are some common challenges faced by professionals in annotation math roles, and how can they be addressed?

Professionals in Annotation Math roles often encounter challenges such as interpreting ambiguous mathematical data, maintaining consistency in labeling complex equations, and managing repetitive tasks that require high attention to detail. Addressing these challenges involves following clear annotation guidelines, collaborating with team members to resolve uncertainties, and utilizing quality assurance tools to minimize errors. Regular feedback sessions and ongoing training also help ensure accuracy and support professional growth in this specialized field.

What are popular job titles related to Annotation Math jobs in San Jose, CA?

For Annotation Math jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Annotation Math jobs in San Jose, CA look for?

The top searched job categories for Annotation Math jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Annotation Math jobs?

Cities near San Jose, CA with the most Annotation Math job openings:

Annotation Math jobs near you
Infographic showing various Annotation Math job openings in San Jose, CA as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $68,957 per year, or $33.2 per hour.

Principal AI/ML Engineer

Abbott

Santa Clara, CA

Full-time

Medical, Vision, Life, Retirement

Re-posted 20 days ago

Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

178th of 540 rated manufacturers

Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:

Our medical devices help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine ngersticks.

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You'll also have access to:

  • Career development with an international company where you can grow the career you dream of.

  • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year

  • An excellent retirement savings plan with high employer contribution

  • Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor's degree.

  • A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.

  • A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.

THE OPPORTUNITY

This Principal AI/ML Engineer position can work out of our Santa Clara, CA location.

The Principal ML Ops Engineer will lead the technical execution of Abbott's Medical Devices Digital (MDD) AI initiatives, bridging advancedAI technology developmentwith scalable engineering solutions.You will be vital indesigning,developingandmaintaininga robust AIplatform,establishingproduction-gradeMLOpscapabilities, and collaborating closely with data scientists, infrastructure specialists, and algorithm teams to ensure effective AI solution deployments.

What You'll Work On

  • Lead end-to-end MLsolutionsdevelopment and delivery, including data ingestion,annotation,feature engineering, training, validation, deployment, and monitoring.

  • Architecta highly available, secure, scalable cloud/on-prem hybrid ML infrastructure.

  • Engage directly with ML scientists and act as the team's bridge/glue between science and engineering.

  • Implement robust CI/CD workflows for ML models, including testing, rollout, rollback strategies, and compliance governance.

  • Ensure strict compliance with regulatory and privacy standards such as HIPAA, GDPR, and Software as aMedical Device (SaMD) guidelines.

  • Drive alignment and adoption of architecture strategy with business leaders.

  • Mentor and guide ML engineers andSW engineers,establishcoding standards, and conduct detailed design and architectural reviews.

Qualifications

  • BachelorsDegreein Computer Science, Engineering Mathematics, or related field.

  • Minimum10+ years of experience,Master's Degreewith 7+ years of related experience, or Ph.D. with5+ years of related experience.

  • Deep experiencebuildingMLinfrastructurefor experiment tracking,model training,data versioning,annotation tools,model serving,monitoringand observability.

  • Experience with GenAI and Agentic AI development infrastructure includinggrounding,RAG, MCP and prompt engineering.

  • Experience developing AI products on cloud computing platforms (e.g., AWS, Azure, Google Cloud), containerization technologies (e.g., Docker, Kubernetes), pipeline orchestration tools (e.g.Airflow),IaC(e,g., Terraform).

  • Proficient in tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologies.

  • Strong understanding of database technologies (e.g., SQL, NoSQL) and data modeling principles.

  • Significant experienceworking with agile software development methods, such as scrum andKanbanand working within CI/CD pipelines.

  • Experience incorporating Security by Design principles into AI product development.

  • Experience of senior executive/leadership engagement.

  • Exposure to various aspects of architecture practices and frameworks: business, application, data, security,infrastructureand governance.

  • Experience withmicroservicesarchitecture and distributed systems.

  • Experience in reviewing and selecting Technical and Applications Architectures solutions.

  • Certifications and specializations in AI/ML, LLMs and Cloud platforms.

  • Excellent oral, written and presentation communication skills.

  • Team leadership experience anddemonstratedmentorship capabilities.

Preferred

  • Experience working in an FDA-regulated business (e.g. validated software related to medical, pharmaceutical, or life sciences products).

  • Experience with FDA 510(k) submissions and clinical-grade ML product development.

  • Solid understanding of the design thinking process, as well as a passion and know-how for influencing design strategy.

  • Publications, patents, or notable contributions to open-source projects.

  • Background in signal processing, computer vision, or multimodal learning.

  • Familiarity with data security best practices, data anonymization, synthetic data generation, and federated learning.

#software

Apply Now

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal

The base pay for this position is

$148,700.00 - $297,300.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:Product DevelopmentDIVISION:MD Medical DevicesLOCATION:United States > Santa Clara : Building B - SCADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:Yes, 5 % of the TimeMEDICAL SURVEILLANCE:Not ApplicableSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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