Approved AI Annotator | Outlier / Aether
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Served as an Approved AI Annotator supporting AI model training and performance benchmarks across multiple data types. Performed entity tagging on images, audio, and text, ensuring precise labeling aligned with quality standards. Conducted transcription of audio, object recognition, sentiment analysis, scene classification, and annotation for web content structures.
• Applied perception-based labels to multimodal data, such as object recognition and behavioral cues.
• Consistently achieved high accuracy and benchmark thresholds for annotation quality.
• Supported AI website-generation projects with hands-on layout and content annotation.
• Maintained confidentiality and quality in all labeling assignments.
Served as an Approved AI Annotator supporting AI model training and performance benchmarks across multiple data types. Performed entity tagging on images, audio, and text, ensuring precise labeling aligned with quality standards. Conducted transcription of audio, object recognition, sentiment analysis, scene classification, and annotation for web content structures. • Applied perception-based labels to multimodal data, such as object recognition and behavioral cues. • Consistently achieved high accuracy and benchmark thresholds for annotation quality. • Supported AI website-generation projects with hands-on layout and content annotation. • Maintained confidentiality and quality in all labeling assignments.
2025 - Present