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Annotation Math Jobs in Albany, CA (NOW HIRING)

Nexxa.AI

AI Vision Engineer

San Francisco, CA · On-site

Build scalable data pipelines for image and video collection, annotation, augmentation, training ... Mathematics, Statistics, Artificial Intelligence, or a related technical field, or equivalent ...

Nexxa.ai

AI Vision Engineer

San Francisco, CA · On-site

Build scalable data pipelines for image and video collection, annotation, augmentation, training ... Mathematics, Statistics, Artificial Intelligence, or a related technical field, or equivalent ...

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 ...

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 ...

Moneta Ventures

Technical Architect

San Ramon, CA · On-site

$214K/yr

Design and develop components that enable user annotation of business data to improve the system ... using mathematical models. Build user interface and natural language capabilities for the next ...

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All JobsAnnotation Math JobsAnnotation Math Jobs in Albany, CA

Annotation Math information

See Albany, CA salary details

$26.3K

$68.8K

$110.5K

How much do annotation math jobs pay per year?

As of Sep 10, 2026, the average yearly pay for annotation math in Albany, CA is $68,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,600.00 and $81,900.00 per year, depending on experience, location, and employer.

What is an annotation math job?

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 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 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 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 cities near Albany, CA are hiring for Annotation Math jobs?

Cities near Albany, CA with the most Annotation Math job openings:

Annotation Math jobs near you
Infographic showing various Annotation Math job openings in Albany, CA as of August 2026, with employment types broken down into 72% Full Time, 25% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $68,824 per year, or $33.1 per hour.

Staff/Senior Staff Software Engineer - Full Stack

Foster City, CA • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

Other

Posted 15 days ago

Key responsibilities

  • Lead the design and development of the Geofencer system across the full stack, including frontend map editing and backend geospatial services.

  • Own core geospatial data workflows such as geofence editing, road-network annotation, drivable-area computation, and release processes.

  • Operate production infrastructure, including deployment, monitoring, automation, and integration with other systems.

Job description

The Software Systems Infrastructure team is responsible for aiding the Software Systems organization with all its internal tooling needs, development processes and ensuring that all safety-critical software meets a high safety bar for production vehicles. We are a fullstack, high-paced software engineering team.

In this role, you will be a technical lead for a tool called Geofencer - Zoox's geospatial platform for defining where and how our autonomous vehicles operate. Geofencer is the system of record for geofences, road-network annotations, pickup/dropoff zones, and released Plans of Record that flow directly to the fleet — making it one of the highest-leverage tools at the company: a change made in this application changes where robotaxis drive in the real world. You will own architecture and delivery across the full stack, from an interactive map-editing frontend to geospatial backend services and release pipelines, working closely with mapping, autonomy, operations, and safety teams. As a team lead, you'll take technical ownership for the whole system including delivery of features, set technical direction, drive quality and correctness in a safety-critical domain, and mentor engineers across the team.

In this role, you will:
  • Lead the design and development of Geofencer across the stack: a React/TypeScript single-page application with rich interactive map editing (deck.gl, Mapbox), and Python backend services (FastAPI, SQLAlchemy/GeoAlchemy2, Celery) on PostgreSQL/PostGIS.
  • Own core geospatial data workflows: versioned geofence editing, road-network annotation, drivable-area computation and connectivity validation, and the Plan of Record release process that publishes operational constraints to the fleet.
  • Integrate with the broader Zoox ecosystem: the Zoox Road Network (ZRN) map graph, S3 artifact pipelines, downstream fleet and mission systems, and ML-assisted annotation workflows.
  • Operate production infrastructure: Bazel builds, Docker/Kubernetes deployment, observability (Grafana, Sentry, OpenTelemetry), and CI/CD and whip up quick scripts and tools to automate tasks — data migrations, bulk annotation operations, metrics generation.
  • Drive cross-functional alignment with operations, mapping, and autonomy stakeholders; translate ambiguous operational needs into scalable technical solutions; and mentor engineers on the team.
Qualifications
  • Bachelor's degree in an engineering, mathematics, or related field
  • 10+ years of industry experience building and operating production fullstack systems on large code bases
  • Strong proficiency in fullstack development: Python backend services (FastAPI/Flask/Django or similar), React with TypeScript/JavaScript (ideally for data-heavy or visualization-intensive UIs), relational databases, async/task-queue architectures, and scripting/automation (Python, shell)
  • Experience with Linux, cloud infrastructure (AWS or similar), containerized deployment, build systems, version control, testing methodologies, and CI/CD
  • Demonstrated technical leadership: driving multi-quarter projects, setting architectural direction, and mentoring engineers
Bonus Qualifications
  • Experience with geospatial systems: PostGIS, GDAL/Shapely/Turf, map rendering libraries (deck.gl, Mapbox GL, Leaflet), or road-network/graph data models and building map-based web applications or GIS tooling with safety-critical systems
  • Robotics, automotive, or aerospace software experience
  • Familiarity with ML‑assisted data pipelines (e.g., VLM‑based annotation or labeling workflows)
About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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