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Portuguese Language Data Annotation Expert

Work remotely as a part-time contractor annotating and reviewing Portuguese text for AI—20+ hours/week at $30–$65/hr. Use your native or near-native Portuguese and fluent English to label, evaluate, and improve language data for machine learning.

OpenTrain AI

Translation & Localization

100% Remote Hourly · $30–$65/hr

$30–$65/hr

Compensation

Worldwide

Eligibility

Intermediate

Experience

Jul 17, 2026

Posted

Open worldwide

Interested in this role?

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About OpenTrain

OpenTrain is the #1 platform for building careers in AI training and data labeling. We connect trained contributors with consistent, specialized annotation work so you can grow a durable freelance career in a fast-growing industry.

Creating an OpenTrain account is free. We hire contributors directly as contractors for projects that shape how AI understands and uses language.

About AI training work

AI training (also called data labeling or annotation) is the human side of building modern AI: people prepare, review, and refine the examples models learn from. This work powers translation, search, chat assistants, content moderation, and many other features in state-of-the-art systems.

These projects are often remote, flexible, and suitable for part-time contributors; many roles require language fluency and attention to detail rather than prior software engineering experience.

The role

OpenTrain seeks a Portuguese Language Data Annotation Expert to annotate, label, and review Portuguese text data used for machine learning and AI projects. This contractor, part-time role focuses on linguistic accuracy, translation review, and curating high-quality language resources.

Work is fully remote and worldwide; you will collaborate in English for written feedback and follow project-specific guidelines while contributing suggestions to improve language workflows.

  • Employment type: Contractor, Part-time
  • Time requirement: 20+ hours per week
  • Data type: Text; Labeling tasks include classification, NER/entity classification, translation/localization review, and evaluation/rating
  • Languages required: Native or near-native Portuguese and fluent English
  • Pay: Hourly, $30–$65 USD per hour (PAY_PER_HOUR)

What you'll do

Your day-to-day work will center on annotating Portuguese language data and improving dataset quality through careful review and documentation.

  • Annotate, label, and review Portuguese text for classification, NER, translation/localization, and evaluation/rating tasks
  • Ensure linguistic accuracy and consistency across annotations and curated data
  • Check and provide feedback on translations and localization quality
  • Document annotation processes and propose workflow improvements
  • Share insights on regional language nuances to help shape project-specific language resources

Requirements

You must meet the core linguistic and practical requirements below; additional background in linguistics or localization is a plus.

  • Native or near-native proficiency in Portuguese
  • Fluent English for written feedback and collaboration
  • Experience annotating or processing language data (intermediate level)
  • Strong written communication skills and attention to detail
  • Solid understanding of Portuguese grammar, syntax, and regional variation
  • Comfort working independently in a remote environment and meeting deadlines
  • Familiarity with translation review or localization workflows is preferred
  • Familiarity with annotation tools and platforms is a plus; background in linguistics or language studies is advantageous

Who should apply

Apply if you are a language-focused contributor who wants flexible, remote work that directly shapes how AI systems handle Portuguese. This role suits language students, localization specialists, translators, linguists, or experienced annotators seeking steady part-time contracting work.

  • Good fit: native Portuguese speakers with annotation experience or localization/linguistics background
  • Not required: specific software engineering skills or prior platform experience

Ready to apply?

Create a free OpenTrain account and apply for this role in minutes.

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