AI Quality Control Specialist - Brazilian Portuguese at Trustscale.ai | Torre
AI Quality Control Specialist - Brazilian Portuguese
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Trustscale.ai

AI Quality Control Specialist - Brazilian Portuguese

Trustscale.ai
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Freelance
A project
Compensation
USD15 - 25/hour
Negotiable
location_on
Remote (anywhere)
Posted 5 months ago

Responsibilities and deliverables

About the Role: TrustScale is building scalable, high-quality human-in-the-loop systems to power AI. We are looking for a Brazilian Portuguese Quality Control Specialist who can analyze, validate, and challenge AI-generated outputs with precision and consistency. This is not a proofreading role. You will act as a quality gatekeeper, ensuring outputs meet standards for accuracy, utility, and linguistic quality across large-scale workflows. What You Will Do: - Evaluate AI-generated content in Brazilian Portuguese (PT-BR) across multiple task types (annotation, review, validation). - Apply structured quality frameworks to assess: - Accuracy and factual correctness. - Utility (alignment with user intent). - Language quality (fluency, tone, clarity). - Identify and flag: - Hallucinations and misinformation. - Logical inconsistencies. - Cultural or linguistic mismatches. - Provide clear, structured feedback to improve upstream quality. - Detect patterns of errors across batches and contribute to quality insights. - Support calibration efforts to ensure consistent scoring across teams. - Contribute to guideline refinement and evaluation standards. Who You Are: - Native Brazilian Portuguese (PT-BR) with strong command of English. - Highly analytical with strong critical thinking skills. - Comfortable working with ambiguous and evolving guidelines. - Detail-oriented with the ability to maintain consistency at scale. - Clear communicator, able to justify decisions and provide actionable feedback. - Naturally skeptical—able to question outputs and validate information. Preferred Background: - Journalism, editorial, or investigative research. - Linguistics, translation, or localization QA. - Content moderation / Trust & Safety. - Experience in AI data annotation, evaluation, or QA. What Success Looks Like: - High consistency in quality scoring across tasks. - Strong alignment with QA benchmarks. - Ability to detect non-obvious quality issues. - Feedback that improves annotator performance and overall output quality. - Contribution to a scalable, predictable quality system. Why TrustScale: At TrustScale, we operate AI talent as a supply chain—structured, measurable, and optimized. You will be part of a system where quality is not subjective, but defined, measured, and continuously improved.
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