Perle Labs
Worked on audio data annotation and question-answering validation tasks for enterprise AI model training workflows on the Perle Labs platform. Responsibilities included transcribing and labeling audio samples, verifying answer accuracy against source content, and ensuring consistent data quality across batches. Adhered to strict annotation guidelines and quality benchmarks, maintaining high accuracy and consistency throughout the project. Collaborated within a distributed team of annotators and incorporated feedback to improve labeling precision. Gained hands-on experience with RLHF-adjacent workflows and multimodal data handling in a Web3-based annotation environment.