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Portuguese Language Specialist

iMerit Scholars • Brazil • Tecnologia

A combinar CLT • Especialista

Descrição da vaga

Position Overview:

As a Gen AI Data Annotation Analyst, you will play a critical role in developing high-quality datasets that power the next generation of Large Language Models (LLMs). You will evaluate, generate, and refine multi-modal data (text, image, or video) to ensure AI outputs are accurate, safe, and culturally resonant for the Portuguese market.

Key Responsibilities

  • Multi-Modal Annotation: Label and categorize high-quality training data across text, image, and video formats with surgical precision.
  • Content Generation: Draft grammatically flawless, creative, and factually accurate text in both Portuguese and English, adapting tone and style for specific project needs.
  • Edge-Case Resolution: Apply logical reasoning to resolve ambiguous data scenarios where guidelines may not explicitly cover a specific nuance.
  • Continuous Feedback: Identify and report bugs within internal annotation tools and suggest workflow optimizations.
  • Cross-Functional Sync: Collaborate with Leads and Project Managers to calibrate on quality benchmarks and project pivots.

System Requirements (Mandatory):

Full set of desktop/Laptop with Windows 11 Pro. Bring a compliant device. Windows 11 Pro (Home editions not allowed) or macOS 12+, 8 GB RAM, 50 GB free disk. Tablets/Chromebooks/phones won’t be accepted.

  • Network: Stable Internet connection, which should have a speed of up to 40MBPS

Requisitos

  • Bachelor's degree/ diploma or equivalent educational qualification.
  • Minimum of 1-2 years of experience in annotation tasks, linguistic data handling, or related AI/ML projects.
  • Demonstrated experience working with data annotation tools and software platforms.
  • Strong understanding of language nuances, including grammar, style, and cultural context.
  • Ability to adapt quickly to changing project directions and fast-paced work environments.
  • Previous experience creating or annotating complex data specifically for Large Language Model (LLM) training.
  • Familiarity with annotation projects involving sensitive or nuanced content.
  • Prior exposure to Generative AI technologies and principles.

What We Offer:

  • An innovative and supportive global working environment.
  • Opportunities for continuous learning and growth.
  • Competitive compensation and remote working arrangements.
  • Engagement in impactful projects at the forefront of AI technology.

Join iMerit to be part of shaping high-quality datasets powering the next generation of

Generative AI solutions. If precision, critical analysis, and innovation excite you, we encourage

you to apply!