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Annotation Math Jobs in Watsonville, CA (NOW HIRING)

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 ...

All JobsAnnotation Math JobsAnnotation Math Jobs in Watsonville, CA

Annotation Math information

See Watsonville, CA salary details

$23.7K

$62K

$99.6K

How much do annotation math jobs pay per year?

As of Jul 23, 2026, the average yearly pay for annotation math in Watsonville, CA is $61,982.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,400.00 and $73,700.00 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 are popular job titles related to Annotation Math jobs in Watsonville, CA? For Annotation Math jobs in Watsonville, CA, the most frequently searched job titles are:
What job categories do people searching Annotation Math jobs in Watsonville, CA look for? The top searched job categories for Annotation Math jobs in Watsonville, CA are:
What cities near Watsonville, CA are hiring for Annotation Math jobs? Cities near Watsonville, CA with the most Annotation Math job openings:
Annotation Math jobs near you
Infographic showing various Annotation Math job openings in Watsonville, CA as of June 2026, with employment types broken down into 33% Full Time, 65% Part Time, and 2% Nights. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $61,982 per year, or $29.8 per hour.
Helix AI Engineer, Perception

Helix AI Engineer, Perception

Figure

San Jose, CA • Hybrid

$200K - $400K/yr

Other

Posted 13 days ago

Job description

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 03, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It's time to build.

Figure's vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for Perception Engineers to empower Figure humanoid robots to perform highly dynamic operations in demanding real-world environments.

Responsibilities:

  • Develop perception systems including onboard computer vision, localization, visuomotor policies, and offline data annotation.
  • Own the end-to-end product life cycle from initial ideation to deployment.
  • Deliver high-quality, reliable software solutions for real-world application.
  • Collaborate cross-functionally to evolve and optimize our autonomy stack.

Requirements:

  • Extensive experience in production-level software and ML engineering best practices.
  • Strong mathematical foundation in probability, optimization, and linear algebra.
  • Domain expertise in at least one of the following areas: 3D Vision, VIO / SLAM, Vision-Language Model (VLM), Diffusion Models.
  • Proficiency with geometric computer vision concepts, including perspective transformation, the pinhole camera model, and epipolar geometry.
  • Ability to thrive in a fast-paced environment that demands exploration and creative problem-solving.
  • Passion for advancing humanoid robotics.

Bonus Qualifications:

  • Experience with CUDA programming and real-time systems performance optimization.
  • Familiarity with scalable data engineering toolchains like Spark and Ray.
  • Strong publication record in a relevant field.
  • Proven success in developing and deploying production-grade systems.

The US base salary range for this full-time position is between $200,000 - $400,000

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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