Quality Control Lead – Portuguese (Brazil)

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Guide and oversee a team of around 10 Quality Control Reviewers, ensuring uniform quality standards for the Portuguese (Brazil) locale.

• Evaluate reviewer feedback, conduct quality audits, and ensure compliance with project guidelines.

• Serve as the main quality liaison for the Portuguese (Brazil) locale, addressing quality inquiries and escalating complex matters when necessary.

• Facilitate calibration sessions and offer structured coaching to enhance reviewer performance.

• Track quality trends, pinpoint risks, and proactively resolve performance discrepancies.

• Assist in the onboarding and professional development of new Quality Control Reviewers.

• Work in conjunction with global Quality Teams to refine processes, documentation, and ensure quality consistency across AI training initiatives.

⛳️ Requirements

• Native-level proficiency (CEFR C2 or equivalent) in Portuguese (Brazil).

• Proficient in written and spoken English.

• At least 2 years of experience in AI training, data annotation, linguistic quality, localization QA, or a related quality assurance field.

• Minimum 1 year of experience in leading or supervising reviewers, annotators, or quality teams.

• Strong grasp of linguistic quality, including grammar, fluency, tone, register, and cultural nuances.

• Experience in delivering structured, evidence-based feedback and coaching to enhance quality.

• Exceptional analytical skills with the capacity to assess complex tasks that may not have a singular correct answer.

• Strong organizational abilities and the capability to juggle multiple priorities in a dynamic remote setting.

• Nice to have:

• A degree in Linguistics, Computer Science, Engineering, or another analytical discipline.

• Experience with Large Language Models (LLMs), RLHF, AI data annotation, prompt evaluation, or NLP-related projects.

• Familiarity with annotation platforms and quality management processes for AI datasets.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Flexible work hours and remote working options.

• Opportunities for professional development and training.

• Collaborative and inclusive work environment.