The work
As a Portuguese Quality Assurance Lead, you will oversee quality across Portuguese AI training projects. You will review AI-generated content and trainer or QA submissions against project guidelines and rubrics, then give clear written feedback.
You will also help keep project resources current, support contributors, and improve quality processes for Portuguese-language work.
- Review Portuguese AI training outputs and trainer or QA submissions for quality and consistency.
- Check accuracy, fluency, grammar, spelling, tone, formatting, and preservation of meaning.
- Identify mistranslations, unnatural phrasing, inconsistent terminology, and cultural issues.
- Escalate recurring or critical quality problems and share precise written feedback.
- Support onboarding and maintain FAQs, trackers, examples, documentation, and style guides.
- Communicate workflow updates and help improve QA processes for Portuguese projects.
What it pays and takes
- Pay: $35 per hour.
- Schedule: Part time, 20 or more hours per week.
- Location: Open to candidates in Brazil and Portugal.
- Languages: Fluent Portuguese with strong reading and writing ability, plus strong English communication skills.
- Experience: Professional experience in Portuguese writing, editing, translation, localization, quality assurance, or AI training workflows.
- Knowledge: Strong understanding of Portuguese grammar, register, regional usage, and Brazil-specific localization.
- Tools: Comfortable using Discord, Google Sheets, Google Docs, dashboards, and project trackers.
- Helpful experience: AI training, data annotation, large language model evaluation, or rubric-based QA.
- Helpful education: A degree in Portuguese, linguistics, translation, communications, journalism, English, education, or quality assurance.
- Helpful team experience: Supporting remote teams of trainers, annotators, reviewers, editors, or quality assurance specialists.
How it works
Apply on OpenTrain with your resume and then complete the application on the hiring site.
About AI training work
AI training work is the human work behind systems that generate and understand language. People review examples, rate model outputs, and provide feedback so AI systems become more accurate and useful; experienced reviewers are valued for their language knowledge and careful judgment.