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Data Labeling Analyst Ii Jobs in California (NOW HIRING)

Welocalize

Finnish Data Labeler

San Francisco, CA · On-site

$26 - $28/hr

Data Labeling Analyst * Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) * Hours ... Paid Company Holidays: 2 days (Memorial Day and Labor Day) * Paid Sick Leave: accrued per ...

Welo Data

Data Labeling Associate

Sunnyvale, CA

$34/hr

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year preferred) * A Bachelor's degree holder PROJECT DETAILS * Location: 100% Onsite (Bay Area, Seattle ...

Welo Data

Data Labeling Associate

Burlingame, CA

$34/hr

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year preferred) * A Bachelor's degree holder PROJECT DETAILS * Location: 100% Onsite (Bay Area, Seattle ...

Welo Data

Data Labeling Associate

San Francisco, CA

$34/hr

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year preferred) * A Bachelor's degree holder PROJECT DETAILS * Location: 100% Onsite (Bay Area, Seattle ...

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Data Labeling Analyst Ii information

What does a data labeling analyst II do?

A Data Labeling Analyst II is responsible for accurately categorizing and annotating large datasets, which are often used to train machine learning models. This role involves reviewing data such as images, audio, text, or videos and applying predefined tags or labels according to specific guidelines. A Data Labeling Analyst II may also help improve labeling processes, provide feedback on data quality, and support junior analysts. Their work ensures that AI and data-driven technologies can learn effectively from high-quality, well-labeled data.

How does a data labeling analyst II typically collaborate with data scientists and machine learning engineers during projects?

As a Data Labeling Analyst II, you will frequently work closely with data scientists and machine learning engineers to ensure datasets are accurately annotated for model training and validation. Collaboration often involves clarifying labeling guidelines, providing feedback on ambiguous cases, and adjusting annotation strategies based on project goals. Regular communication and review sessions help maintain consistency and high-quality data, which are vital for successful machine learning outcomes. This teamwork also offers opportunities to learn more about the end use of labeled data and to contribute ideas that improve overall data processes.

What are the key skills and qualifications needed to thrive as a data labeling analyst II, and why are they important?

A Data Labeling Analyst II should possess strong attention to detail, familiarity with data annotation processes, and a background in computer science or a related field. Proficiency with data labeling tools such as Labelbox, Supervisely, or CVAT, as well as experience with database management systems, is typically required. Excellent communication, problem-solving abilities, and adaptability help analysts efficiently collaborate and manage evolving project requirements. These skills ensure the creation of high-quality labeled datasets, which are essential for training accurate machine learning models.

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Data Labeling Analyst Ii jobs near you
Infographic showing various Data Labeling Analyst Ii job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution.

Finnish Data Labeler

Welocalize

San Francisco, CA • On-site

$26 - $28/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

339th of 500 rated business services

Job description

About the job Finnish Data Labeler
Overview
Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You'll be working with audio, speech, and language data - helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems - where precision and discipline matter at scale.
We're looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details

  • Job Title: Data Labeling Analyst
  • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $26 - $28/hour
Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.
What You'll Do
  • Execute high-volume data labeling and annotation tasks across speech and voice datasets
  • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
  • Work with audio and language data, including transcription, categorization, and tagging
  • Maintain strong throughput while meeting quality expectations
  • Escalate unclear or ambiguous cases appropriately
  • Adapt to evolving guidelines and workflows as systems and requirements change
  • Support baseline data production needs for AI training pipelines
  • Contribute to team calibrations and quality alignment sessions
What We're Looking For
  • Native-level fluency in Croatian
  • Strong written communication skills and language fundamentals
  • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
  • Ability to follow detailed instructions and apply guidelines consistently
  • High attention to detail and ability to maintain accuracy in repetitive tasks
  • Comfort working in structured, process-driven environments
  • Ability to manage time effectively and maintain steady output
  • Willingness to ask questions and escalate when needed
  • Basic familiarity with AI, speech technology, or language data is a plus
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)

Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location

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