Portuguese (Brazil) Quality Control Lead - Project Lyra

Posted 9 Hours Ago
Be an Early Applicant
4 Locations
Remote
Junior
Artificial Intelligence • Machine Learning • Natural Language Processing • Professional Services
The Role
Lead quality strategy for Portuguese (Brazil) AI training: manage ~10 reviewers, audit feedback, run calibrations, coach reviewers, monitor trends, and liaise with global quality teams to maintain annotation and linguistic standards.
Summary Generated by Built In
Overview

Are you an experienced quality assurance professional with a passion for language quality, AI, and team leadership? We are looking for a Portuguese (Brazil)-speaking Quality Control Lead to join a large-scale AI training program. In this role, you will lead the quality strategy for the Portuguese (Brazil) locale, ensuring consistent guideline application, coaching Quality Control Reviewers, and maintaining high-quality standards across a variety of AI training tasks.

This is an exciting opportunity to combine your expertise in language quality, AI data annotation, and people leadership while helping improve the next generation of AI systems.

What you will do:
  • Lead and support a team of approximately 10 Quality Control Reviewers, ensuring consistent quality standards across the Portuguese (Brazil) locale.
  • Review reviewer feedback, audit quality, and ensure alignment with project guidelines.
  • Act as the primary quality point of contact for the Portuguese (Brazil) locale, resolving quality questions and escalating complex issues when necessary.
  • Conduct calibration sessions and provide structured coaching to improve reviewer performance.
  • Monitor quality trends, identify risks, and proactively address performance gaps.
  • Support the onboarding and development of new Quality Control Reviewers.
  • Collaborate with global Quality Teams to improve processes, documentation, and quality consistency across AI training tasks.
Project Details:
  • Start Date: ASAP
  • Commitment: 30–40 hours/week
  • Job Type: Fixed-term contract
  • Location: Remote
Requirements:
  • Native-level proficiency (CEFR C2 or equivalent) in Portuguese (Brazil).
  • Professional written and spoken English.
  • Minimum 2 years of experience in AI training, data annotation, linguistic quality, localization QA, or a related quality assurance role.
  • At least 1 year of experience leading or supervising reviewers, annotators, or quality teams.
  • Strong understanding of linguistic quality, including grammar, fluency, tone, register, and cultural nuances.
  • Experience providing structured, evidence-based feedback and coaching others to improve quality.
  • Excellent analytical skills with the ability to evaluate complex tasks where there may not be a single correct answer.
  • Strong organizational skills and the ability to manage multiple priorities in a fast-paced remote environment.
Nice to have:
  • Degree in Linguistics, Computer Science, Engineering, or another analytical field.
  • Experience with Large Language Models (LLMs), RLHF, AI data annotation, prompt evaluation, or NLP projects.
  • Familiarity with annotation platforms and quality management processes for AI datasets.

This is a unique opportunity to take a leadership role in a cutting-edge AI program while helping ensure the highest quality standards for Portuguese (Brazil) language data.

Join our team and help shape the future of AI communication!

Skills Required

  • Native-level proficiency (CEFR C2 or equivalent) in Portuguese (Brazil).
  • Professional written and spoken English.
  • Minimum 2 years of experience in AI training, data annotation, linguistic quality, localization QA, or related quality assurance role.
  • At least 1 year of experience leading or supervising reviewers, annotators, or quality teams.
  • Strong understanding of linguistic quality: grammar, fluency, tone, register, and cultural nuances.
  • Experience providing structured, evidence-based feedback and coaching to improve quality.
  • Excellent analytical skills with ability to evaluate complex tasks without a single correct answer.
  • Strong organizational skills and ability to manage multiple priorities in a fast-paced remote environment.
  • Degree in Linguistics, Computer Science, Engineering, or another analytical field.
  • Experience with Large Language Models (LLMs), RLHF, AI data annotation, prompt evaluation, or NLP projects.
  • Familiarity with annotation platforms and quality management processes for AI datasets.
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The Company
6,543 Employees

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