ZipRecruiter

Log In

1

Portuguese Data Annotation Jobs in Seattle, WA (NOW HIRING)

All JobsPortuguese Data Annotation JobsPortuguese Data Annotation Jobs in Seattle, WA

Portuguese Data Annotation information

What is Portuguese data annotation?

Portuguese data annotation is the process of labeling or tagging data, such as text, audio, or images, in the Portuguese language to make it understandable for machines. This work is essential for training artificial intelligence and machine learning models, especially for tasks like language processing, translation, and speech recognition. Annotators may identify parts of speech, label entities, transcribe audio, or classify sentiment in Portuguese content. High-quality annotation helps improve the accuracy and reliability of AI systems that use Portuguese data.

What are the key skills and qualifications needed to thrive as a Portuguese data annotation specialist, and why are they important?

To thrive as a Portuguese Data Annotation Specialist, you need fluency in Portuguese, attention to detail, and a good understanding of linguistic or data labeling concepts, often supported by a relevant educational background. Familiarity with annotation tools, data management platforms, and sometimes basic coding or spreadsheet skills is typically required. Strong analytical thinking, consistency, and the ability to work independently are valuable soft skills for this role. These skills ensure high-quality, accurate datasets that are essential for training reliable AI and machine learning models.

What are some common challenges faced by Portuguese data annotation specialists, and how can they be addressed?

Portuguese Data Annotation specialists often encounter challenges such as maintaining consistency across large datasets, understanding regional language variations, and ensuring high accuracy under tight deadlines. To address these challenges, it's helpful to use clear annotation guidelines, participate in regular team reviews, and utilize quality assurance tools. Collaboration with linguists and frequent communication with project managers also help resolve ambiguities and improve overall annotation quality, making the workflow smoother and more efficient.

What is the difference between Portuguese Data Annotation vs Portuguese Language Specialist?

AspectPortuguese Data AnnotationPortuguese Language Specialist
CredentialsBasic language proficiency, data annotation trainingAdvanced language skills, linguistic certifications
Work EnvironmentData labeling platforms, remote or office-basedEditing, translation, linguistic analysis
Industry UsageAI, machine learning, data sciencePublishing, translation, education

Portuguese Data Annotation involves labeling data for AI models, focusing on accuracy and consistency. Portuguese Language Specialists perform linguistic tasks like translation and editing. While both roles require language proficiency, data annotation emphasizes technical data tasks, whereas language specialists focus on linguistic expertise.

What are popular job titles related to Portuguese Data Annotation jobs in Seattle, WA?

For Portuguese Data Annotation jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Portuguese Data Annotation jobs in Seattle, WA look for?

The top searched job categories for Portuguese Data Annotation jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Portuguese Data Annotation jobs?

Cities near Seattle, WA with the most Portuguese Data Annotation job openings:

Portuguese Data Annotation jobs near you

Data Labeling Associate Portuguese - Bilingual (Portugal)

Welo Data

Redmond, WA

$34/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 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.