Data Labeling & Annotation Specialist
OtherTextEntity Ner Classification
Worked as a Data Labeling & Annotation Specialist at Alignerr Platform focusing on annotation and labeling of large-scale datasets for AI/ML model training. Conducted tasks involving named entity recognition, sentiment analysis, intent classification, and RLHF preference comparisons. Maintained accuracy above 98% across text, audio, and multimedia data while strictly adhering to annotation guidelines.
• Performed high-volume annotation and transcription activities for diverse data types
• Provided quality assurance and escalated ambiguous data cases
• Applied boundary box, segmentation, and content categorization on datasets
• Specialized in aviation/ATC dataset labeling with domain-specific protocol knowledge.
Worked as a Data Labeling & Annotation Specialist at Alignerr Platform focusing on annotation and labeling of large-scale datasets for AI/ML model training. Conducted tasks involving named entity recognition, sentiment analysis, intent classification, and RLHF preference comparisons. Maintained accuracy above 98% across text, audio, and multimedia data while strictly adhering to annotation guidelines. • Performed high-volume annotation and transcription activities for diverse data types • Provided quality assurance and escalated ambiguous data cases • Applied boundary box, segmentation, and content categorization on datasets • Specialized in aviation/ATC dataset labeling with domain-specific protocol knowledge.
2022 - Present