Data Annotator (CipherSense)
ImageClassification
As a Data Annotator at CipherSense, I labeled over 15,000 images, text, and audio samples for supervised machine learning projects. I maintained a labeling accuracy above 98% and contributed to improving inter-annotator agreement by 30%. My responsibilities included creating annotation guidelines, developing QA workflows, and collaborating with ML engineers to enhance dataset quality.
• Labeled and validated images, texts, and audio files for ML training
• Created and refined annotation guidelines and QA checklists
• Mentored new annotators and provided onboarding training
• Conducted quality-control audits to sustain high consistency
As a Data Annotator at CipherSense, I labeled over 15,000 images, text, and audio samples for supervised machine learning projects. I maintained a labeling accuracy above 98% and contributed to improving inter-annotator agreement by 30%. My responsibilities included creating annotation guidelines, developing QA workflows, and collaborating with ML engineers to enhance dataset quality. • Labeled and validated images, texts, and audio files for ML training • Created and refined annotation guidelines and QA checklists • Mentored new annotators and provided onboarding training • Conducted quality-control audits to sustain high consistency
2025 - 2026