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Data Annotation Tech Jobs in Pleasanton, CA (NOW HIRING)

General Motors

Senior ML Systems Engineer

Sunnyvale, CA · On-site

$122K - $168K/yr

... data-annotation pipelines and machine-led training data solutions at foundation-model scale . We ... Driven to learn new technologies and deepen your expertise across frontend, backend, and data/ML ...

Waymo

Technical Specialist, ML Data

Mountain View, CA · On-site

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Convert ambiguous ML quality problems into precise, scalable annotation policies and data ...

General Motors

ML Systems Engineer

Sunnyvale, CA · On-site

Driven to learn new technologies and deepen your expertise across frontend, backend, and data/ML ... e.g., annotation UIs, workflow engines, quality systems). Compensation: The compensation ...

Rivian

Senior Staff Tech Lead, VLM

Palo Alto, CA

$265K - $331K/yr

In this Tech Lead role, you will drive and deliver the overarching VLM strategy, which includes ... defining data annotation guidelines, partnering effectively with in-house and external 3P ...

Rivian

Senior Staff Tech Lead, VLM

Palo Alto, CA · On-site

$265K - $331K/yr

In this Tech Lead role, you will drive and deliver the overarching VLM strategy, which includes ... defining data annotation guidelines, partnering effectively with in-house and external 3P ...

Genesis10

AI Linguist - Hybrid

Mountain View, CA · On-site

$38.61 - $45.48/hr

... technology Experience with human judgment projects and flows Experience with complex and scalable data annotations and evaluations Experience with programming languages in data annotation space ...

Intuitive

Senior AI Data Science Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like ... Drive annotation workflows, including label taxonomy, tooling selection, and quality control, in ...

Abaka AI

Project Manager

Palo Alto, CA · On-site

Preferred : • Experience in the AI, data, or technology industry is a strong plus. • ... annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with ...

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Data Annotation Tech information

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$13

$25

$38

How much do data annotation tech jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data annotation tech in Pleasanton, CA is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $30.24 per hour, depending on experience, location, and employer.

What is a data annotation tech?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

What does a data annotation tech do?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

What are the key skills and qualifications needed to thrive as a data annotation tech?

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What job categories do people searching Data Annotation Tech jobs in Pleasanton, CA look for?

The top searched job categories for Data Annotation Tech jobs in Pleasanton, CA are:

What cities near Pleasanton, CA are hiring for Data Annotation Tech jobs?

Cities near Pleasanton, CA with the most Data Annotation Tech job openings:

Data Annotation Tech jobs near you
Infographic showing various Data Annotation Tech job openings in Pleasanton, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $52,876 per year, or $25.4 per hour.

Senior ML Systems Engineer

Sunnyvale, CA • On-site

General Motors
Transportation Equipment Manufacturing • 10K+ employees

8.2

Company rating: 8.2 out of 10

Based on 307 frontline employees who took The Breakroom Quiz

3rd of 45 rated automakers

People enjoy working here

Good employer

Paid breaks

Learn more about General Motorsexternal

$122K - $168K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Job Description
Help teach our self-driving vehicles how to see and understand the world!
The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV organization
We operate in the intersection of software engineering, data engineering, and AI/ML, defining the strategies, tooling, and quality controls that create reliable training data at scale. Our tools and platform are used by thousands of users and consumers.
We own a modern full-stack architecture including TypeScript/React, Python, GraphQL, Golang, and ML model services, which powers data-annotation pipelines and machine-led training data solutions at foundation-model scale. We partner closely across AI/ML engineers, Product Operations, Product Management, Data Science, and other ML Platform groups.
This role is ideal for an engineer who wants end-to-end ownership of meaningful pieces of the platform, growth toward technical leadership, and direct impact on systems that unblock the next generation of AV capabilities.
What You'll Do
  • Build high-impact labeling experiences
    Design, implement, and test scalable, high-performance user experiences and services using modern full-stack and/or frontend technologies. You'll ship features spanning multiple surface-areas that directly affect how quickly and accurately we can label data for new models and cities.
  • Level up how ML teams work with data
    Develop automation and tooling that give ML engineers deep insight into labeling workflows and data quality (e.g., efficiency dashboards, auto-QA, autolabel review tools), reducing iteration time from idea to trained model.
  • Apply ML to labeling itself
    Collaborate with ML engineers to design and integrate ML-driven data annotation (pre-labeling, autolabeling, active learning loops), helping us move from human-only to machine-led labeling at scale.
  • Champion AI-assisted engineering
    Use and advocate for modern AI-powered development workflows (code assistants, automated documentation, test generation, etc.) to increase velocity while maintaining quality.
  • Own projects end-to-end
    Take ownership of technical projects from problem framing through design, implementation, and rollout. Drive code reviews, design discussions, and technical decisions.
  • Collaborate across the AV stack
    Work with partner teams (ML, Ops, Product, Data Science, other platform teams) to translate abstract requirements into concrete workflows, APIs, and UIs that hit quality, cost, and latency goals.

Your Skills & Abilities
  • Passionate about self-driving technology and its potential to transform safety, mobility, and the driving experience.
  • Driven to learn new technologies and deepen your expertise across frontend, backend, and data/ML-adjacent systems.
  • Proven experience shipping and operating end-to-end products or features in production.
  • Strong communication and collaboration skills; you can explain tradeoffs, influence peers, and work through ambiguity with cross-functional partners.
  • Empathetic to user challenges (from labelers to ML engineers to Ops) and excited to turn messy workflows into simple, intuitive tools.

Requirements
  • 6+ years of experience building robust distributed platforms and applications.
  • Hands-on experience leveraging AI tools(agentic coding, search, documentation generators, etc) to accelerate understanding, implementation, debugging, and delivery of new capabilities.
  • Proficiency in writing and reviewing high-quality, scalable, and performant full-stack code using technologies and languages like Python, TypeScript, Go, React, SQL, Redux, GraphQL, WebGL.
  • Solid understanding of relational databases, data modeling, and API design.
  • Strong fundamentals in object-oriented design and design patterns, data structures, algorithms, and engineering best practices (TDD, code quality, observability, CI/CD).
  • Experience developing and operating cloud-based applications.

What Will Give You a Competitive Edge
Experience using modern web APIs (Service Workers, Cache Storage, IndexedDB, etc.) in data-intensive or visualization-heavy applications.
  • A track record of close collaboration with customers, product managers, designers, and user experience researchers.
  • Experience with computer vision, machine learning, or data-centric AI projects - especially where labeled data, data quality, or autolabeling loops were central to the work.
  • Familiarity with data labeling platformsor tools used by large labeling workforces (e.g., annotation UIs, workflow engines, quality systems).
  • Experience with A/B testing and telemetry/observability systems to measure impact and reliability.
  • Proficiency in writing and reviewing high-quality, scalable, and performant code using TypeScript, React, Redux, GraphQL, WebGL, or similar frontend technologies.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington
  • Compensation: The expected base compensation for this role is: $174,900 - $261,300 Actual base compensation within the identified range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays.

#LI-EL1
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.The selected candidate will be required to travel <25% for this role.This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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