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Portuguese Data Annotation Jobs (NOW HIRING)

xAI

AI Tutor - Portuguese

Charleston, WV · On-site

Native proficiency in Portuguese with exposure to diverse accents, dialects, or regional variations ... Experience working with speech/audio datasets, annotation workflows, or AI training data, including ...

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Portuguese Data Annotation information

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 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 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 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.
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Portuguese Data Annotation jobs near you
Portuguese (Portugal) Language Analyst - US-based

Portuguese (Portugal) Language Analyst - US-based

Welo Data

Seattle, WA

$26 - $28/hr

Full-time

Posted 9 days ago

Job description

Overview

Welo Data is hiring Portuguese (Portugal)-speaking analysts to support our Speech & Voice AI team. You’ll help build high-quality audio, speech, and language datasets that power production AI systems. 

Role details

  • Employment: W2, full-time (40 hrs/week)
  • Location: 100% onsite only; must commute to one of: NYC; Seattle/Bellevue/Redmond; SF Bay Area (San Francisco, Sunnyvale, Burlingame); Austin; Los Angeles; Washington DC; Chicago; Boston
  • Pay: $26–$28/hour, depending on location and experience
What you’ll do
  • Label and annotate speech/voice data (transcription, tagging, categorization)
  • Follow clear guidelines to ensure accuracy and consistency at scale
  • Maintain strong throughput while meeting quality targets
  • Escalate unclear cases and adapt to evolving instructions
  • Participate in team calibrations for quality alignment
What we’re looking for
  • Native-level fluency in Portuguese (Portugal) 
  • Strong written communication and language fundamentals
  • 1+ year in labeling/annotation/content-quality work, or a related Bachelor’s degree
  • High attention to detail; comfort with structured, repetitive workflows
  • US work authorization required (no visa sponsorship)
 
Benefits
  • Paid vacation: 6 days; Company holidays: 2 (Memorial Day, Labor Day); Sick leave per state law
  • Medical, dental, vision (eligibility applies); HSA; 401(k); EAP; additional voluntary benefits
  • Onsite perks where available: free meals, stocked micro-kitchens, commuter options, unique campus amenities

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.

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.