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Global Labeling Jobs in California (NOW HIRING)

Collabera

Label Designer

Temecula, CA

... Global Delivery Model enables its global 2000 and leading mid-market clients to deliver ... Conceptualizes multi-lingual packaging/labeling symbols, colors and graphics to create images and ...

Aerotek

Data Labeling Specialist

San Jose, CA · On-site

$30/hr

Data Labeling Specialist We are seeking a detail-oriented Data Labeling Specialist to join our ... Aerotek is an Allegis Group company, the global leader in workforce and business solutions. To ...

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How much do global labeling jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for global labeling in California is $30.13, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $38.65 per hour, depending on experience, location, and employer.

What is a global labeling?

A Global Labeling job involves managing the development, updates, and compliance of product labeling for pharmaceutical, biotech, or medical device companies. Professionals in this role ensure that labeling documents, including package inserts and safety information, align with global regulatory requirements. They collaborate with cross-functional teams, including regulatory affairs, medical, and legal departments, to maintain accuracy and consistency. Global Labeling specialists also track regulatory changes and implement updates to ensure compliance in different markets.

What are the main responsibilities of a global labeling professional on a day-to-day basis?

On a typical day, a Global Labeling professional coordinates the development, review, and maintenance of product labeling to ensure compliance with varying international regulations. This often involves collaborating closely with cross-functional teams such as regulatory affairs, medical writing, marketing, and quality assurance to gather and validate product information. They also manage updates to labeling documents, monitor regulatory changes in target markets, and prepare submissions for regulatory agencies. The role requires balancing the accuracy and clarity of labeling content while managing multiple projects and tight deadlines.

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

To thrive as a Global Labeling professional, you typically need a background in life sciences, regulatory affairs, or pharmaceuticals, coupled with a thorough understanding of international labeling requirements and product regulations. Familiarity with regulatory databases, document management systems, and certifications such as RAC (Regulatory Affairs Certification) are highly beneficial. Exceptional attention to detail, strong organizational abilities, and clear cross-cultural communication skills set candidates apart in this role. These competencies are crucial for ensuring compliant and timely product labeling across global markets, reducing risks and supporting successful product launches.

What are the most commonly searched types of Global Labeling jobs in California? The most popular types of Global Labeling jobs in California are:
What are popular job titles related to Global Labeling jobs in California? For Global Labeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Global Labeling jobs in California look for? The top searched job categories for Global Labeling jobs in California are:
What cities in California are hiring for Global Labeling jobs? Cities in California with the most Global Labeling job openings:
Global Labeling jobs near you
Infographic showing various Global Labeling job openings in California as of August 2026, with employment types broken down into 1% Internship, 74% Full Time, 19% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $62,662 per year, or $30.1 per hour.

Project Perseus | Data Labeling Associate - English Speakers(Europe, UK, Canadian and/ or Australian

Welo Global

Sunnyvale, CA • On-site

$34/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You'll be working directly with cutting-edge AI systems - evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We're looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
  • Job Title: Data Labeling Associate
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
  • 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: $34/hour
  • Contract Duration: 1-year contract with possibility of extension

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, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.
What You'll Do
  • Evaluate AI model outputs and provide structured, high-quality feedback
  • Perform audit-based reviews of data and model behavior - identifying patterns, edge cases, and failure modes
  • Apply guidelines thoughtfully - and flag when they don't reflect real-world scenarios
  • Contribute to improving evaluation frameworks, not just executing them
  • Identify trends in model performance and communicate insights clearly
  • Participate in team discussions, calibrations, and stakeholder syncs
  • Partner with leads and cross-functional teams to refine quality standards
  • Document findings in a clear, concise, and actionable way

What We're Looking For
  • Native-level English speaker from an EU10 country, the UK, Canada, or Australia and a university degree (Bachelor's or higher).
  • 1-2 years of professional writing experience with strong, structured writing skills
  • Ability to apply complex writing rules and guidelines consistently
  • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
  • Strong critical thinking and attention to detail
  • Ability to make sound judgment calls in ambiguous situations
  • Naturally curious about AI, technology, and how systems behave
  • Comfortable speaking up, asking questions, and contributing ideas
  • Strong written and verbal communication skills
  • Ability to stay consistent while working with evolving guidelines
  • Experience in data quality, QA, annotation, or analysis is helpful - but not required

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.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.

$34 - $34 an hour
Why This Role
This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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