Freelance Data Annotator / Labeler
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Freelance Data Annotator / Labeler (Remote, Part-Time) — Text Annotation. Brings 11+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other and Appen. Education includes Bachelor of Business Management, Zetech University. AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER) Classification, Segmentation, and Transcription.
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Transcribed and tagged short-form audio clips for speech and language model training. Followed speech/language labeling guidelines to identify ambiguous or low-quality samples for flagging and review. Maintained high acceptance and quality scores by repeatedly applying evolving instructions across projects. • Transcribed audio clips for speech/language training • Tagged audio segments/instances per labeling guidelines • Flagged low-quality or ambiguous samples for compliance • Maintained throughput and accuracy across concurrent tasks
Annotated image data for AI/ML model training using bounding-box and segmentation style requirements. Labeled objects and visual attributes accurately while maintaining inter-annotator agreement through careful guideline adherence. Completed quality checks by validating label correctness and applying updated labeling instructions when taxonomies changed. • Produced visual annotations including bounding boxes and object segmentation • Labeled visual attributes aligned with dataset taxonomy • Conducted guideline adherence and consistency checks • Completed rework cycles when outputs did not meet QA criteria
Completed paid annotation work on AI/ML datasets used for model training, focusing on text labeling tasks. Applied client style guides to perform consistent text classification, sentiment labeling, and named-entity tagging while meeting quality and throughput targets. Validated outputs to ensure adherence to evolving instructions across concurrent projects. • Labeled text classification and content categorization per detailed style guides • Performed sentiment tagging and named-entity tagging (NER) • Flagged ambiguous cases and followed rework/QA expectations • Tracked speed and accuracy using spreadsheets for self-monitoring
Managed and maintained large product data catalogs for US and UK clients across thousands of SKUs. Reviewed and corrected product information to ensure accuracy, consistency, and reliable attribute tagging. Coordinated with cross-functional teams across time zones, producing clear written documentation to support ongoing catalog operations. • Product data categorization, tagging, and attribute labeling • Accuracy and consistency review of catalog content • Cross-team coordination and documentation for international clients • Data stewardship for large SKU catalogs and ongoing updates
Bachelor of Business Management, Business Management
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