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

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA · On-site

We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project ... Minimum Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Engineering ...

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA

$175K - $263K/yr

We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project ... Minimum Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Engineering ...

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA

$175K - $263K/yr

We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project ... Minimum Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Engineering ...

Figure

Helix AI Engineer, Perception

San Jose, CA · On-site

... annotation. • Own the end-to-end product life cycle from initial ideation to deployment. • ... Strong mathematical foundation in probability, optimization, and linear algebra. • Domain ...

Figure

Helix AI Engineer, Perception

San Jose, CA · Hybrid

$200K - $400K/yr

... offline data annotation. * Own the end-to-end product life cycle from initial ideation to ... Strong mathematical foundation in probability, optimization, and linear algebra. * Domain expertise ...

Figure

Helix AI Engineer, Perception

San Jose, CA · On-site

$200K - $400K/yr

... offline data annotation. * Own the end-to-end product life cycle from initial ideation to ... Strong mathematical foundation in probability, optimization, and linear algebra. * Domain expertise ...

Mavrx

Algorithm Test Engineer

San Francisco, CA

Develop annotation tools. Annotate some data and manage contract annotators. * Exploit ... Qualifications Education: * BS or greater in math, engineering, physics, statistics, etc. Required ...

Mavrx

Algorithm Test Engineer

San Francisco, CA · On-site

Develop annotation tools. Annotate some data and manage contract annotators. * Exploit ... Qualifications Education: * BS or greater in math, engineering, physics, statistics, etc. Required ...

Abbott

Principal AI/ML Engineer

Santa Clara, CA · On-site

Lead end-to-end ML solutions development and delivery, including data ingestion, annotation ... Bachelors Degree in Computer Science, Engineering Mathematics, or related field. * Minimum 10+ ...

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 ...

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 ...

Tiki AI

AI Data Software Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... mathematical reasoning, and spatial understanding, into executable data production workflows and ... Tiki AI provides end-to-end data annotation and intelligence solutions that transform raw ...

Dyna Robotics

Software Engineer, Data Infra

Redwood City, CA · On-site

$140K - $168K/yr

... episode annotation to analyzing manual interventions. • Design and implement algorithms to extract structured signals (trajectories, events, 3D poses) from raw captures. Strong mathematical ...

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Showing results 1-20

All JobsAnnotation Math JobsAnnotation Math Jobs in San Mateo, CA

Annotation Math information

See San Mateo, CA salary details

$25.6K

$67K

$107.6K

How much do annotation math jobs pay per year?

As of Jul 23, 2026, the average yearly pay for annotation math in San Mateo, CA is $67,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,300.00 and $79,700.00 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 job categories do people searching Annotation Math jobs in San Mateo, CA look for? The top searched job categories for Annotation Math jobs in San Mateo, CA are:
What cities near San Mateo, CA are hiring for Annotation Math jobs? Cities near San Mateo, CA with the most Annotation Math job openings:
Annotation Math jobs near you
Infographic showing various Annotation Math job openings in San Mateo, CA as of July 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $67,015 per year, or $32.2 per hour.

Technical Project Manager

Maxinsights Corporation

Santa Clara, CA • On-site

Full-time

Posted 7 days ago

Job description

Our Mission

At MaxInsights, we enable Robotics Foundation Model companies to access massive, high-quality, scalable training data for embodied AI through our end-to-end data solution platform. Frontier labs are racing to build general-purpose robots, and high-quality training data is the bottleneck. We are building the data collection systems, simulation engines, operational capabilities, and software toolchain to help our partners drive the field forward.

What You'll Do

  • End-to-End Project Delivery: Own the full lifecycle of complex robotics data collection and annotation projects—from initial client alignment and solution design to final delivery. Ensure dataset production meets strict client SLAs and accuracy standards while managing internal cost and timeline targets.

  • Data Solution & Spec Design: Deeply understand clients' robotic model training needs (sensors, modalities, action spaces). Translate ambiguous academic and commercial requirements into concrete, high-precision data collection, simulation, and annotation specifications (Specs).

  • Global Cross-Functional Coordination: Serve as the central program hub coordinating teams across the US, China, and Southeast Asia. Bring together engineering, data operations, algorithms, and global annotation teams to drive seamless execution across time zones.

  • Quality Control & Progress Monitoring: Build and monitor real-time tracking systems for data production pipelines. Establish multi-tiered validation and automated spot-check mechanisms to ensure the integrity, temporal alignment, and label accuracy of millions of data frames.

  • Process Automation: Identify recurring bottlenecks or manual friction points in the global data workflow and collaborate with software teams to build scalable, automated platform tooling.

Who You Are

  • Background: 2–5 years of project or program management experience (TPM role). Direct experience in AI data services, autonomous driving, robotics, or managing high-throughput data BPO pipelines is highly preferred.

  • Technical Literacy: A strong grasp of tech fundamentals. You can comfortably interface with engineering teams on topics like data pipelines, sensor modalities, 3D spatial math, and ML training workflows.

  • Problem Solving: Exceptional learning agility and structured thinking. You can quickly isolate the root cause of complex pipeline failures, sensor drifts, or label inconsistencies, and drive cross-functional resources to a solution.

  • Cross-Border Collaboration: Elite communication skills in English; comfortable working with global, multi-lingual teams across different time zones. Comfort with international travel or coordinating with overseas operations is a plus.

  • Startup Mindset: A high-ownership, self-driven operator who thrives on turning chaos into structured, repeatable processes in a fast-moving, high-impact environment.

What We Offer

  • Competitive Compensation: Market-competitive base salary, and comprehensive benefits.

  • Massive Impact: A front-row seat and massive leverage in building the data infrastructure powering the next wave of embodied intelligence.

  • Elite Collaboration: Direct partnership with leading experts, founders, and tier-one AI and robotics foundation model labs globally.

  • Growth Culture: A fast-paced, high-ownership startup culture that prioritizes execution speed, transparency, and minimal bureaucracy.