ZipRecruiter

Log In

1

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

Sunday

Technical Program Manager, Data Engine

Redwood City, CA · On-site

$157K - $204K/yr

They are seeking a Technical Program Manager, Data Engine to manage data annotation and collection ... operators, engineering, and support • Excitement for the growth and development of AI data • ...

Specter

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

Role: Specter is hiring a data operations engineer to build our research data operation. This ... Build and maintain internal tooling for labelers, including annotation interfaces, task pipelines ...

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Solutions Engineer role involves bridging technical execution and customer needs across AI ... data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Solutions Engineer will bridge technical execution and customer needs across AI data ... data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Solutions Engineer will bridge technical execution and customer needs, working closely ... data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

They are seeking an experienced Data Infrastructure Engineer to enhance their AI data ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

They are seeking an experienced Data Infrastructure Engineer to enhance their AI data ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

previous pagenext page

Showing results 21-40

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

Data Annotation Engineer information

See Sunnyvale, CA salary details

$61.3K

$175.4K

$234.4K

How much do data annotation engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data annotation engineer in Sunnyvale, CA is $175,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $233,200.00 per year, depending on experience, location, and employer.

What are the main challenges faced by data annotation engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

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

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What is a data annotation engineer?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What job categories do people searching Data Annotation Engineer jobs in Sunnyvale, CA look for? The top searched job categories for Data Annotation Engineer jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Data Annotation Engineer jobs? Cities near Sunnyvale, CA with the most Data Annotation Engineer job openings:
Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 68% Full Time, 9% Part Time, and 23% Contract. Highlights an 72% In-person, and 28% Remote job distribution, with an average salary of $175,436 per year, or $84.3 per hour.

Annotation Operations Manager

DYNA Robotics Inc

Redwood City, CA • On-site

Full-time

Posted 2 days ago

New

Job description

Dyna Robotics trains robots to do real world manipulation tasks, and every one of those behaviors is learned from precisely labeled robot episodes. Our Data Annotation team turns raw teleoperation footage into the labels our imitation learning models depend on, so throughput and quality here are a direct input to how fast the company ships.
Dyna Robotics has raised over $140M, backed by top investors including CRV, First Round Capital, Robostrategy, Salesforce Ventures, NVentures, Amazon, Samsung Next, and LG Technology Ventures. Our team brings together engineers and researchers from Google, Meta, Apple, Amazon, Cruise, Aurora, NVIDIA, along with academic roots at Stanford, Berkeley, MIT, UPenn, and beyond. We're positioned to redefine the landscape of robotic automation.
The Role
This role owns the operational layer of that work. You will run the operation from day one, covering process, reporting, and third party relationships, and step into people management progressively, starting with a small pod of labelers and growing into the full team as you prove yourself. Our Annotation Lead keeps the technical judgment calls: model calibration and promotion, ontology and failure taxonomy design, and cost and planning strategy. You are the person who makes the annotation engine run predictably every single day.
What You'll Do
Operations and reporting
  • Own the reporting rhythm. Run daily and weekly throughput reporting across all active datasets, covering episode totals, review stage progress, and ETAs, and distribute scorecards to the labeling team and stakeholders.
  • Keep the pipeline moving. Own the Encord pipeline end to end: create and configure projects, set up SOPs and ontologies, move datasets through annotate, review, and complete stages, handle grade splits, assignments, and resyncs, and keep dataset updates flowing as new footage lands.
  • Measure and unblock. Track and continuously improve operational metrics such as throughput per headcount, per dataset cycle times, and expected versus actual labeling time, and flag bottlenecks before they turn into blockers.
  • Automate the mechanical. Extend and maintain the automation and runbooks behind these tasks, like the scripted daily totals send, so manual toil shrinks over time.

People and team management
  • Start with a pod, then scale up. You will begin by leading a small pod of labelers, owning their day to day assignments and first line supervision. As that proves out, you will transition into managing the full annotation team, about 12 people today and growing, and formalize sub leads as it scales.
  • Handle approvals. Own timecard, payroll hours, and approval workflows for the team.
  • Grow the team. Run hiring for the annotation team end to end, including sourcing, interviewing, onboarding, and ramp.
  • Develop people. Own performance management: regular 1:1s, performance reviews, coaching, and quality feedback loops.

Third party and vendor management
  • Own the relationships. Be the primary point of contact for our annotation platform (Encord) and for external labeling vendors and partners.
  • Coordinate partners. Run external workstreams by provisioning access and invites, standing up projects and SOPs for partners, and managing scope and priorities with them.
  • Manage the handoffs. Own the scale and vendor upload runbook, and make sure data moves cleanly between our systems and external tooling.
  • Absorb the overhead. Represent annotation ops in vendor and external syncs so the rest of the team stays focused.

What You'll Bring
  • 3+ years running operations, program management, or team management, ideally in data annotation, data operations, ML data pipelines, BPO or vendor management, or a comparable high throughput environment.
  • Direct people management experience. You have supervised a team, run hiring, and handled performance and approvals.
  • Strong operational instincts. You build repeatable processes, track the right metrics, and are comfortable owning dashboards, scorecards, and reporting.
  • Comfort with annotation and labeling tooling such as Encord, plus enough technical fluency to work in spreadsheets, basic SQL or scripts, and pipeline tools without hand holding.
  • Vendor and third party management experience. You can be the accountable point of contact and keep external partners on scope and on schedule.
  • A high tolerance for fragmentation. You can hold roughly 20 small threads a week and still keep the operation predictable.
  • Clear, proactive communication. You surface risks early and keep stakeholders aligned.
Bonus points for
  • Exposure to robotics, computer vision, or imitation learning data.
  • Experience automating manual ops workflows with scripts or lightweight tooling.
  • Experience scaling an annotation team through a growth phase and standing up sub leads.

At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect.
Don't let a checklist stop you. Data shows that underrepresented groups often only apply if they meet 100% of the criteria. We value problem-solving and grit over keyword matching. If you're passionate about closing the loop between deployed robots and better models, we want to hear from you, even if you don't check every box.

Apply