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Annotation Math Jobs in California (NOW HIRING)

HireNow Staffing

Product & Operations Lead

Los Angeles, CA · Hybrid

$150K - $250K/yr

Understand customer data pipelines, workflow dependencies, annotation processes, and training stack ... Technical degree in Computer Science, Engineering, Data Science, Mathematics, or related discipline

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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Showing results 1-20

All JobsAnnotation Math JobsAnnotation Math Jobs in California

Annotation Math information

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 California? For Annotation Math jobs in California, the most frequently searched job titles are:
What job categories do people searching Annotation Math jobs in California look for? The top searched job categories for Annotation Math jobs in California are:
What cities in California are hiring for Annotation Math jobs? Cities in California with the most Annotation Math job openings:
Annotation Math jobs near you
Senior Software Engineer, Perception ML Data

Senior Software Engineer, Perception ML Data

Nuro

Mountain View, CA

$193K - $291K/yr

Other

Posted 3 days ago

Job description

About the Role

We're a team of high-output generalists where ML and systems engineering converge to push autonomy performance forward. As a Perception ML Data Engineer, you'll bridge machine learning innovation and autonomy infrastructure to ensure our models learn from the most relevant, diverse, and high-quality data. Your work will directly impact how autonomous systems understand rare scenarios, adapt to global geographies, and scale safely.

Design and advance systems that:

  • Leverage VLMs to curate geographically diverse datasets matching real-world driving distributions
  • Develop high fidelity synthetic data frameworks across sensor modalities
  • Optimize ML-powered validation of data quality and model readiness

Tailor Your Impact:

  • High-Output Generalist: Work across autonomy, infrastructure, databases, simulation, and ML development, gaining domain knowledge in Robotics and ML.
  • Robotics Expert: Build state of the art solutions for data discovery, auto-labeling, and synthetic generation/reconstruction in close collaboration with Infrastructure and Autonomy.
About the work

You'll solve autonomy's hardest data challenges through applied ML and systems rigor:

  • Architect hybrid systems combining deep learning and classical algorithms for scalable data curation and annotation.
  • Design frameworks to quantify synthetic data's real-world fidelity and improve synthetic data rendering quality.
  • Build tools that automatically surface data gaps impacting perception model performance.
  • Collaborate with autonomy engineers to turn raw sensor streams into targeted training priorities - addressing critical gaps that limit perception and autonomy performance
About You
  • BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area.
  • Experience:
    • 4+ years of industry software engineering experience with Python fluency and C/C++ familiarity. Proven ability to lead cross-functional technical projects from design to completion.
  • You possess practical experience in implementing ML solutions and enjoy integrating them into real-world systems. Your focus is on deploying impactful, integrated solutions rather than purely theoretical ML experimentation.
Bonus Points
  • Familiarity working with synthetic or autonomous driving data.
  • Experience building ML systems for robotic applications

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $193,930.00 and $291,150.00/year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

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