ironquill.tech/board

$ cat jobs/spanish-spain-audio-qa-annotation-specialist-matchatalent-7b528b698280.json

Spanish (Spain) Audio QA Annotation Specialist

matchatalent·EU·Spain·mid
aillm
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This role requires the candidate to work remotely on a part-time basis from Spain. Client Overview Our client is a global artificial intelligence technology company specializing in the development of advanced large language models (LLMs), speech recognition technologies, multilingual AI systems, and data annotation solutions. The organization collaborates with leading AI research laboratories and enterprise technology companies worldwide to accelerate the development of next-generation artificial intelligence through high-quality human-generated data. Supporting a diverse portfolio of multilingual AI initiatives, the company works with language specialists, voice professionals, and annotation experts across the globe to improve the accuracy, contextual understanding, and performance of cutting-edge AI systems used in speech processing, conversational AI, and natural language understanding. Job Role The Spanish (Spain) Audio QA Annotation Specialist is a freelance project-based role responsible for reviewing, evaluating, and validating Spanish (Spain) audio recordings to ensure they meet the highest quality standards required for AI speech recognition and audio annotation projects. Working as part of a multilingual quality assurance team, this role focuses on assessing recording accuracy, pronunciation, fluency, audio clarity, annotation consistency, and compliance with project guidelines. The successful candidate will help ensure that all approved audio data contributes effectively to the development of advanced multilingual AI speech technologies. This opportunity is offered as a flexible freelance engagement rather than a traditional full-time or part-time employment position. Key Responsibilities Review and evaluate Spanish (Spain) audio recordings for quality, pronunciation accuracy, clarity, and natural speech delivery. Verify annotation accuracy and ensure all submitted recordings comply with project guidelines and quality standards. Identify audio quality iss

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