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Project Overview We are sourcing independent Language Alignment & Resource Partners (LARPs) to provide native-level Brazilian Portuguese language vetting and QA for a specialized AI data project. As AI systems strive to reflect real-world usage and deliver human-like communication, their accuracy depends entirely on rigorous linguistic and cultural consultation. The objective of this project is to evaluate, annotate, and validate data to ensure high-quality outputs that are fully natural, polished, and free from bias. Project Deliverables & Scope Operate autonomously to provide linguistic QA and develop alignment resources. Expected deliverables include: • Data Annotation & Review: Reviewing, annotating, and testing AI outputs for grammatical accuracy, naturalness, and strict cultural context. • Quality Assurance & Vetting: Acting as a primary quality check during production to proactively identify and correct subtle cultural errors or awkward phrasing in the Brazilian Portuguese language. • Resource Generation: Analyzing task quality trends and autonomously developing educational resources and feedback documentation to increase alignment between AI task outputs and campaign expectations. • Production & Vetting Support: Providing native-level language vetting during project scaling and offering specialized linguistic consultation throughout the production…
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