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Annotation Math Jobs in Santa Clara, CA (NOW HIRING)

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 ...

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All JobsAnnotation Math JobsAnnotation Math Jobs in Santa Clara, CA

Annotation Math information

See Santa Clara, CA salary details

$26.4K

$69.1K

$111K

How much do annotation math jobs pay per year?

As of Jul 23, 2026, the average yearly pay for annotation math in Santa Clara, CA is $69,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $82,200.00 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 Santa Clara, CA? For Annotation Math jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Annotation Math jobs in Santa Clara, CA look for? The top searched job categories for Annotation Math jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Annotation Math jobs? Cities near Santa Clara, CA with the most Annotation Math job openings:
Annotation Math jobs near you
Infographic showing various Annotation Math job openings in Santa Clara, CA as of July 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $69,101 per year, or $33.2 per hour.

Deep learning team leader - Perception

Imagry

San Jose, CA • On-site

Full-time

Posted 9 days ago

Job description

Position: Deep learning team leader - Perception

Position E-mail: imagry.5A.141@comeetapply.com

Location: San Jose, Ca On--Site

We are seeking an experienced and capable Deep Learning Team Leader to join our R&D team. The Team Leader will manage and guide a team of engineers focused on developing and integrating novel vision-based Perception algorithms for our autonomous driving system. In addition to leading the team, the Team Leader will work hands-on to research and implement innovative features using state-of-the-art deep learning methods.

This is a unique opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles.

Position reporting to the Perception Group Leader.

Responsibilities:

Manage and technically lead a team of deep learning engineers, overseeing technical, project management and personal aspects.

Manage Perception projects allocated to the San Jose site.

Work closely with technical leaders across the company, demonstrating flexibility and effective communication in a global, multi-time-zone environment.

Plan, guide, and lead medium to long-term projects involving multiple engineers.

See projects through from research to deployment.

Supervise complex data pipelines, from the collection stage, through annotation, to models training.

Design and optimize deep neural networks, involving innovative feature engineering.

Take an End-to End responsibility over medium to long-term projects

Devise and implement performance metrics.

Communicate, present and visualize results.

Align the algorithms with the product needs.

Work together with HR to manage local recruitment processes (engage local recruits, interview, work with HR at HQ)

Qualifications:

M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university. Ph.D. – Advantage

A proven track record of at least 2 years in managing and technically leading a team of 3 or more engineers, overseeing projects from the brainstorming stage through to successful deployment.

A proven track record of at least 5 years hands-on experience in developing deep learning algorithms.

Experience and knowledge in computer vision and image manipulation algorithms, Object Detection, Segmentation and classification.

In-depth, hands-on knowledge of deep learning fundamentals.

Hands-on experience with deep learning frameworks such as PyTorch.

Strong mathematical aptitude, with emphasis on probability, vector algebra, and geometry.

Proficiency in Python programming.

Experience in conducting long-term development and/or research projects, in either academia or industry.

Proficiency in English, both written and spoken.

Team player – fosters a positive and cooperative work environment by maintaining strong collaboration within the team and building productive relationships with other teams across the company

People management skills

Representative personality

Eligible to work in the US

Skills that are considered an advantage:

Publications in top-tier journals or conferences on algorithms, computer vision, or deep learning

Basic Proficiency in C++.

Experience with Linux.

Source control with git.

Experience with Jira or similar task management software.


Salary- annual range: 190-210 K


Requirements:
None