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Audio
Image
Action Recognition
Data Collection
Evaluation/Rating
Object DetectionI am an experienced data annotator with a background in telecommunications engineering and hands-on expertise in AI training data projects. Currently, I work remotely for RWS Group, where I perform a variety of annotation tasks on platforms like Parimango and Multimango, including pairwise comparisons, object tagging, character-consistency checks, and verifying audio transcript accuracy to enhance speech recognition systems. My technical training, strong problem-solving abilities, and familiarity with both computer vision and audio data labeling enable me to deliver high-quality, consistent results. I am skilled at adapting to new tools and workflows, collaborating effectively in team environments, and ensuring data quality for machine learning applications.
The data annotation project can include tasks of pairwise comparisons, counting tasks, and object tagging tasks, which may include audio, video, and/or images as content or data collected.
Arvin is working as a Data Annotator at RWS Group, focusing on improving speech recognition accuracy. His tasks include a variety of specific labeling tasks such as pairwise comparisons and object tagging. He accesses the client platform through credentials provided by RWS and performs his duties primarily in a remote setup. The software used in this role includes both Parimango and Multimango. • Pairwise comparisons • Counting tasks • Object tagging tasks • Verifying audio transcript accuracy tasks
Bachelor of Science, Telecommunications Engineering
Advanced Certificate of Secondary Education, Secondary Education
Data annotator
Field Engineer
