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How much do vocational ai data labeling jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for vocational ai data labeling in the United States is $31.85, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $35.58 per hour, depending on experience, location, and employer.

What is the difference between Vocational Ai Data Labeling vs Data Annotation Specialist?

AspectVocational Ai Data LabelingData Annotation Specialist
CredentialsBasic technical skills, training in labeling toolsSimilar technical skills, often with certification in data annotation
Work EnvironmentPrimarily remote or in-office data labeling teamsRemote or in-office, often within AI or machine learning companies
Industry UsageUsed across AI, autonomous vehicles, healthcare, and retailCommon in AI, machine learning, and data-driven industries

Vocational Ai Data Labeling and Data Annotation Specialist roles share similar skills and work environments, focusing on preparing data for AI models. However, Vocational Ai Data Labeling often emphasizes specific training for labeling tasks, while Data Annotation Specialists may have broader certification options. Both roles are essential in AI development and frequently overlap in industry usage.

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Vocational Ai Data Labeling jobs near you
Infographic showing various Vocational Ai Data Labeling job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $66,243 per year, or $31.8 per hour.
Data Labeling Associate Portuguese - Bilingual (Portugal)

Data Labeling Associate Portuguese - Bilingual (Portugal)

Welo Data

Washington, DC

$34/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide?
WHAT YOU’LL DO
• 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 Portuguese (Portugal) speaker with strong written communication skills
• 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, NYC, or client-dependent locations)
• Employment Type: W2 Full-Time Employee
• Hours: 40 hours per week
• Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship available)
• Eligible Locations: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, and Boston
BENEFITS
• $34 per hour
• Paid Vacation (6 days)
• Paid Company Holidays
• Paid Sick Leave
• Employee Assistance Program
• Health Savings Account (HSA)
• 401(k) Retirement Plan
• Additional Voluntary Benefits (Life, Accident, Critical Illness, etc.)
ADDITIONAL BENEFITS (Upon Eligibility)
• Medical, Dental, and Vision Insurance
• Free Breakfast, Lunch, and Dinner (where applicable)
• Stocked Micro-Kitchens with Snacks and Beverages
• Commuter Benefits, Including Shuttles and Bike-to-Work Options
• Unique Campus Amenities Depending on Location

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.