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Data Annotation Manager Jobs in Sunnyvale, CA (NOW HIRING)

Sesame

Technical Program Manager, Data

San Francisco, CA · On-site

$200K - $260K/yr

Lead audio data collection and annotation efforts at Sesame. * Collaborate with research and product teams to understand and formalize their requirements. * Identify and manage internal resources and ...

campus4tech

Technical Program Manager III

Mountain View, CA · On-site

$152K - $197K/yr

This role sits at the intersection of program management, data operations, and AI/ML, and will play a pivotal part in ensuring that our data annotation efforts are scalable, high-quality, and aligned ...

Meta

Product Data Operations Program Manager

Menlo Park, CA · On-site

$103K - $155K/yr

... annotation, and curation workflows to ensure timely delivery of high-quality training datasets • Analyze complex data operations challenges and propose scalable solutions that align with AI product ...

Welo Data

Lead Gen AI Analyst

Santa Clara, CA · On-site +1

Familiarity with annotation tools and AI data workflows. * Experience working with Product, Engineering, Research, or Vendor Management teams. * Knowledge of reporting, dashboards, workflow ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

As a Data Science Manager, you will act as a pivotal technical leader to bridge the gap between ... Annotation Rigor: Drive a comprehensive and scalable data annotation strategy that prioritizes ...

Xdof

Technical Program Manager

San Francisco, CA · On-site

$152K - $196K/yr

Ensure data annotation projects meet client requirements on accuracy and SLA, while satisfying ... Who You Are * Background: 2-5 years of project management experience; background in AI data ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

As a Data Science Manager, you will act as a pivotal technical leader to bridge the gap between ... Annotation Rigor: Drive a comprehensive and scalable data annotation strategy that prioritizes ...

Specter

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

Define labeling taxonomies and annotation specifications Qualifications: * 1-3+ years of experience in data operations, project management, or a technical coordination role, ideally supporting ML or ...

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All JobsData Annotation JobsData Annotation Manager JobsData Annotation Manager Jobs in Sunnyvale, CA

Data Annotation Manager information

See Sunnyvale, CA salary details

$36.2K

$113.4K

$200.8K

How much do data annotation manager jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data annotation manager in Sunnyvale, CA is $113,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $146,500.00 per year, depending on experience, location, and employer.

What does a data annotation manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

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

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

What are some common challenges faced by data annotation managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Sunnyvale, CA?

The most popular types of Data Annotation jobs in Sunnyvale, CA are:

What job categories do people searching Data Annotation Manager jobs in Sunnyvale, CA look for?

The top searched job categories for Data Annotation Manager jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Data Annotation Manager jobs?

Cities near Sunnyvale, CA with the most Data Annotation Manager job openings:

Data Annotation Manager jobs near you
Infographic showing various Data Annotation Manager job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 73% In-person, 18% Hybrid, and 9% Remote job distribution, with an average salary of $113,383 per year, or $54.5 per hour.

Technical Program Manager, Data

Sesame

San Francisco, CA • On-site

$200K - $260K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description

About Sesame
Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.
About the Role
We are seeking a Senior Technical Program Manager to lead Sesame's data collection and annotation initiatives. In this role, you will gather data requirements from research and product teams, prioritize projects, identify and manage internal or external resources, and ensure the delivery of high-quality data.
Responsibilities:
  • Lead audio data collection and annotation efforts at Sesame.
  • Collaborate with research and product teams to understand and formalize their requirements.
  • Identify and manage internal resources and/or external vendors to complete data tasks.
  • Ensure the delivery of high-quality work.
  • Work closely with tooling engineers to support data-related tasks.
  • Oversee data acquisition processes.

Required Qualifications:
  • Bachelor's degree in Computer Science or a related field.
  • 5+ years of experience working with machine learning researchers and engineers.
  • Proven experience leading data labeling projects.
  • Experience managing full-time employees or contractors involved in data labeling.
  • Expertise in writing technical specifications for data annotation pipelines.

Preferred Qualifications:
  • Understanding of ML data pipelines and their applications.
  • Experience working with LLMs.
  • Familiarity with data labeling for audio technologies, such as speech recognition and speech synthesis.

Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact careers@sesame.com for assistance.
Full-time Employee Benefits:
  • 401 (k) max employer match: 3.5% of compensation
  • 100% employer-paid health, vision, and dental benefits for you and your dependents
  • Unlimited PTO and sick time
  • Flexible spending account with employer matching up to $1,650/year (medical FSA)
  • Guardian Employee Assistance Program (EAP)
  • Opportunity to share in the company's success with competitive stock options

Benefits do not apply to contingent/contract workers.

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