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Annotation Labelling Jobs in San Jose, CA (NOW HIRING)

Welo Data

Data Labeling Associate

Sunnyvale, CA

$34/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Execute Data labelling and annotation tasks across speech and voice datasets. * Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A FIT IF YOU'RE... * A ...

Welo Data

Data Labeling Associate

San Francisco, CA · On-site

$34/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Execute Data labelling and annotation tasks across speech and voice datasets. * Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A FIT IF YOU'RE... * A ...

Welo Data

Data Labeling Associate

Burlingame, CA · On-site

$34/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Execute Data labelling and annotation tasks across speech and voice datasets. * Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A FIT IF YOU'RE... * A ...

Bedrock Robotics

Agentic Data Understanding

San Francisco, CA · On-site

$134K - $162K/yr

Auto-Labeling Systems * Design and build a hybrid cascading auto-labeling pipeline that intelligently selects annotation techniques - onboard sensor-derived labels, specialized AI models, and VLMs ...

Rivian

Sr. Software Analyst, Data, Autonomy

Palo Alto, CA · On-site

$132.10 - $165.10/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The role also encompasses developing policies, setting precise labeling protocols, executing accurate 3D sensor data annotation, and conducting thorough quality control on all generated datasets. You ...

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Annotation Labelling information

What is annotation labelling?

Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.

What are the key skills and qualifications needed to thrive as an annotation labelling specialist?

To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.

What are some common challenges faced by annotation labelling professionals, and how can they be managed?

Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.

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

AspectAnnotation LabellingData Labeling Specialist
CredentialsBasic technical skills, attention to detailSimilar skills, sometimes additional domain knowledge
Work EnvironmentData annotation platforms, remote or officeData annotation tasks, often remote or in-office
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, healthcare, retail
Search & ComparisonCommonly compared for entry-level data tasksRelated but broader role

Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.

What are popular job titles related to Annotation Labelling jobs in San Jose, CA?

For Annotation Labelling jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Annotation Labelling jobs in San Jose, CA look for?

The top searched job categories for Annotation Labelling jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Annotation Labelling jobs?

Cities near San Jose, CA with the most Annotation Labelling job openings:

Annotation Labelling jobs near you

Strategic Projects Lead - Audio Data

Success Matcher Recruitment

Redwood City, CA • Hybrid

$140K - $160K/yr

Full-time

Re-posted 3 days ago

Job description

About the Company

Our client is building the foundational data and benchmark infrastructure for next-generation Voice AI, helping frontier AI labs train models to understand humanity across every language, dialect, and accent.

Backed by Y Combinator and over $3.5M in seed funding from top-tier Silicon Valley investors (including surgepoint, Amino Capital, and co-founders of Twitch and Cruise), they operate as a lean, elite team of ~10 scaling rapidly in the Bay Area.

About the Role

As the Strategic Projects Lead - Audio Data, you will own and deliver high-priority audio data collection projects end-to-end. In this high-ownership, ground-floor role, you will be the single-threaded owner of large-scale, six-figure+ contracts, driving messy and complex projects from customer kickoff through to final, high-quality delivery.

What You Will Do

  • Project Delivery: Manage complex audio data collection projects, overseeing contributor sourcing, engagement, quality assurance, and client communication.
  • Quantitative Operations: Track project progress and KPIs quantitatively. You will build dashboards, analyze throughput/quality data, and proactively solve operational bottlenecks.
  • Client Interface: Work directly with leading frontier AI labs to clarify requirements, deliver progress updates, and iterate based on their feedback.
  • Product Collaboration: Propose and drive technical and product changes with the engineering team to improve platform capabilities, contributor workflows, and QA tooling.
  • Resource Management: Hire and manage external QA resources as needed, collaborating directly with the co-founders and engineers to unblock delivery.

What You Bring

  • Experience: 2 to 7 years of data operations experience specifically on the supply side at a data annotation/labeling vendor company (e.g., Scale AI, Surge AI, Appen, Micro1, TELUS Digital, DataAnnotation, or a similar AI data startup).
  • Track Record: Proven success delivering six-figure+ data collection or annotation contracts end-to-end.
  • Technical Domain: Direct experience managing audio, speech, voice, or multimodal data projects.
  • Analytical Chops: Strong analytical skills with the ability to build dashboards and use data to solve quantitative operational problems.
  • QA Design: Quality workflow design experience, including creating annotation guidelines, QA rubrics, and quality control systems.
  • Mindset: Extreme ownership, resilience in the face of ambiguity, and a habit of pushing through obstacles to deliver results.
  • Presence: Ability to work full-time on-site (5 days/week) in the San Mateo/Redwood City, CA area.