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Data Labeling Jobs in Gilroy, CA (NOW HIRING)

Figure

Lead, Data Quality - Partnerships

San Jose, CA · On-site

$120K - $180K/yr

Own the full external vendor portfolio for Data Quality: sourcing, evaluation, onboarding, and offboarding of data labeling and review partners. * Negotiate commercial terms, statements of work, and ...

Figure

Lead, Data Quality - Partnerships

San Jose, CA · On-site

$120K - $180K/yr

Own the full external vendor portfolio for Data Quality: sourcing, evaluation, onboarding, and offboarding of data labeling and review partners. * Negotiate commercial terms, statements of work, and ...

Figure

Project Coordinator, Data Quality

San Jose, CA · On-site

$40/hr

Requirements : * 4+ years of experience in data quality, data labeling operations, or content/data review roles, with demonstrated ownership of a project or workstream end-to-end. * Experience ...

Figure

Project Coordinator, Data Quality

San Jose, CA · On-site

$40/hr

Requirements : * 4+ years of experience in data quality, data labeling operations, or content/data review roles, with demonstrated ownership of a project or workstream end-to-end. * Experience ...

eBay Inc.

Data Science - Analyst 4

San Jose, CA · On-site

$149.20 - $199.20/hr

Identify friction across the seller shipping and label purchase journey, uncover customer pain ... Develop scalable data pipelines, dashboards, and AI‑powered monitoring solutions that enable ...

eBay, Inc.

Data Science - Analyst 4

San Jose, CA · On-site

$149K - $199K/yr

Identify friction across the seller shipping and label purchase journey, uncover customer pain ... Develop scalable data pipelines, dashboards, and AI-powered monitoring solutions that enable faster ...

Figure

Data Quality Analyst

San Jose, CA · On-site

$30/hr

We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data ... Use proprietary annotation tools to label objects, poses, and interactions in images and video ...

Figure

Data Quality Analyst

San Jose, CA · On-site

$30/hr

We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data ... Use proprietary annotation tools to label objects, poses, and interactions in images and video ...

Computacenter

Data Center Technician

Livermore, CA · On-site

... port. • Labeling: operate cable labeling machine and apply label onto cables per customer ... Data Collection: capture critical device information such as asset tag, serial numbers, mac ...

Accenture

Data Protection, Manager

San Jose, CA · On-site

$150K - $178K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). * Perform threat mapping ...

Hark

Data Collection

San Jose, CA · On-site

$150K - $250K/yr

Familiarity with data annotation platforms or labeling pipelines. * Experience with synthetic data generation or evaluation dataset design. * Background working at a fast-moving AI or research-driven ...

Hark

Data Collection

San Jose, CA

$150K - $250K/yr

Familiarity with data annotation platforms or labeling pipelines. * Experience with synthetic data generation or evaluation dataset design. * Background working at a fast-moving AI or research-driven ...

Hark

Data Collection

San Jose, CA · On-site

$150K - $250K/yr

Familiarity with data annotation platforms or labeling pipelines. * Experience with synthetic data generation or evaluation dataset design. * Background working at a fast-moving AI or research-driven ...

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All JobsData Labeling JobsData Labeling Jobs in Gilroy, CA

Data Labeling information

What is data labeling?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a data labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are the key skills and qualifications needed to thrive in data labeling, and why are they important?

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

How can I get started in data labeling?

To get started in data labeling, you should develop basic skills in data annotation tools and understand labeling guidelines for different data types such as images, text, or audio. Many entry-level positions require attention to detail and sometimes a background in relevant fields like computer science or linguistics; online courses and practice datasets can help build your skills. Additionally, creating a strong profile on job platforms and applying to companies that offer remote or flexible data labeling roles can increase your chances of starting in this field.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.

Is data labeling a good career?

Data labeling is a growing field that involves annotating data for machine learning models, often requiring attention to detail and familiarity with tools like labeling platforms. It can offer flexible schedules and entry-level opportunities, but typically provides lower pay compared to other tech roles and may lack long-term career advancement without additional skills. Overall, it can be a suitable starting point for those interested in AI and data science, but may not be ideal as a long-term career without further development.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a team environment.

What are popular job titles related to Data Labeling jobs in Gilroy, CA?

For Data Labeling jobs in Gilroy, CA, the most frequently searched job titles are:

What cities near Gilroy, CA are hiring for Data Labeling jobs?

Cities near Gilroy, CA with the most Data Labeling job openings:

Data Labeling jobs near you
Infographic showing various Data Labeling job openings in Gilroy, CA as of August 2026, with employment types broken down into 71% Full Time, 11% Part Time, 7% Temporary, and 11% Contract. Highlights an 84% In-person, and 16% Remote job distribution.

Lead, Data Quality - Partnerships

San Jose, CA • On-site

Figure
See more jobs at Figureexternal

$120K - $180K/yr

Full-time

Re-posted 18 days ago

Job description

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.
We are building the data foundation that powers our humanoid robots. The Data Quality team owns the standards, guidelines, and audit infrastructure that ensure our training data meets the bar our AI systems require. As we scale, a growing share of that work runs through external vendors, and this role owns those relationships end to end.
As External Partnerships Lead, you'll own Figure's external data vendor portfolio for Data Quality: who we work with, what we hold them to, and how their output meets the same bar as our in-house team. You'll source and select vendors, negotiate the commercials, set and enforce SLAs, and stand up the calibration and audit processes that keep external work on standard. When a project rotates to external support, you are the senior owner of that delivery, and the Project Coordinators on it work through you.
Responsibilities:
  • Own the full external vendor portfolio for Data Quality: sourcing, evaluation, onboarding, and offboarding of data labeling and review partners.
  • Negotiate commercial terms, statements of work, and contracts, and manage pricing, budgets, and surge capacity across vendors.
  • Set and enforce SLAs and acceptance criteria; hold every vendor to the same golden set and audit bar as the in-house team.
  • Serve as the senior owner when a project rotates to external support, directing the Project Coordinators running that work.
  • Build and run the vendor scorecard: throughput, quality, inter-annotator agreement, and SLA adherence, reviewed in regular business reviews.
  • Stand up calibration exercises and golden set checks with each vendor so external output matches internal standards.
  • Partner with engineering and ML stakeholders to translate data quality requirements into vendor-ready guidelines and specs.
  • Plan capacity and ramp with vendors to meet project timelines, including surge needs and new regions.
  • Coordinate with internal Project Coordinators and leadership on which projects rotate to which vendors and when.

Requirements:
  • 6+ years in data quality, data labeling operations, vendor or partner management, or ML data operations, with end-to-end ownership of vendor relationships or major workstreams.
  • Direct experience selecting, contracting, and managing external data vendors, including defining and enforcing SLAs.
  • A track record negotiating commercial terms (pricing, SOWs, capacity) and running vendor business reviews.
  • Experience setting quality standards, acceptance criteria, and audit or calibration processes that external teams executed against.
  • Comfort working with engineering and ML stakeholders to translate technical requirements into operational guidance.
  • Leadership across people you both do and do not directly manage, including coordinators running work on your vendors.

Bonus Qualifications:
  • Experience scaling a multi-vendor or multi-region labeling operation.
  • Experience with golden set / ground truth construction.
  • Background in robotics, autonomous systems, LLM, or physical AI data.
  • Experience standing up new vendor operations in international or lower-cost markets.

The US base salary range for this full-time position is between $120,000 - $180,000 annually.
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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