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

Apple

GenAI Research Engineer

Cupertino, CA · On-site

... annotation workflows, A/B tests). MS or PhD in a detailed quantitative field such as computer science, mathematics, statistics, economics, health informatics, or similar and 5 years relevant industry ...

Agility Robotics

Staff AI Engineer, Perception

Fremont, CA · On-site

$207K - $323K/yr

Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with ... Experience with MLOps such as (but not limited to) data annotation services, data storage, model ...

Apple

GenAI Research Engineer

Cupertino, CA

$181K - $318K/yr

... mathematics, statistics, economics, health informatics, or similar and 5 years relevant industry ... annotation workflows, A/B tests). Pay & Benefits At Apple, base pay is one part of our total ...

Apple

GenAI Research Engineer

Cupertino, CA

$181K - $318K/yr

... mathematics, statistics, economics, health informatics, or similar and 5 years relevant industry ... annotation workflows, A/B tests). Pay & Benefits At Apple, base pay is one part of our total ...

Hirevouch

Forward Deployed Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Advanced annotation tools, workflow automation, and quality control systems that enable teams to ... Master's degree or higher in Computer Science, Engineering, Mathematics, or AI-related fields.

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Annotation Math information

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$26.4K

$69K

$110.8K

How much do annotation math jobs pay per year?

As of Jun 10, 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 are Annotation Math jobs?

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
GenAI Research Engineer

GenAI Research Engineer

Apple

Cupertino, CA • On-site

Full-time

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

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

The Health Personalization team builds outstanding technologies to support AI-driven health experiences that provide our users with understandable, actionable information about their health and wellbeing, and support them to achieve their health and wellness goals. As part of the larger Sensor Software & Prototyping team, we take a multimodal approach using a variety of sensors and user data signals across hardware platforms, such as camera, wearables, and natural language user input. We are committed to building deeply personal features that understand, anticipate, and adapt to users' behaviors and uphold Apple's deep commitment to privacy as a fundamental human right. Our team values expertise, innovation, and inclusivity. Come join us!
In this role, you will develop, evaluate, and continuously improve Generative AI systems for real-world health and wellbeing applications. You'll apply deep expertise in health-focused machine learning alongside rigorous evaluation methodology. Your work will directly shape customer-facing health products by turning evaluation results into scalable pipelines that drive data-informed model improvements across the full ML lifecycle. You'll collaborate with a fast-growing team of top scientists and engineers to build generative systems that meet the highest standards of quality, reliability, and alignment with human intent.
BS and a minimum of 10 years relevant industry experienceProficiency in Python and ability to write clean, performant code and collaborate using standard software development practices.Technical expertise and hands-on experience crafting and evaluating machine learning solutions for user-facing applications.Experience applying a scientific approach to drive machine learning innovation: developing hypotheses, designing experimentation strategies, and guiding data generation / collection / evaluation (e.g. user studies, annotation workflows, A/B tests).
MS or PhD in a detailed quantitative field such as computer science, mathematics, statistics, economics, health informatics, or similar and 5 years relevant industry experienceStrong communication skills, comfort working with multiple engineering teams on complex projects, and experience contributing to an inclusive team culture.Technical expertise in generative AI domains, such as large language model architectures, memory representation, planning, knowledge retrieval, natural language understanding.Hands-on experience developing complex generative AI systems in an applied setting, e.g. experience with post-training techniques like supervised fine-tuning, adapter training, and reinforcement learning from human feedback.Experience with LLM-based evaluation systems and rigorous, evidence-based approaches to test development, e.g. quantitative and qualitative test design, reliability and validity analysis.Customer-focused mindset with experience or strong interest in building consumer digital health and wellness products.Knowledge of health informatics or experience with complex health data sources (e.g. EHRs, medical ontologies, wearables)Experience with building and deploying performant and scalable systems (full-stack)

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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