Data Annotation Specialist (Remote / Contract) | Various Platforms & Clients •
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UI/UX Designer in Contract Review, Compliance, and Legal Research. Brings 6+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Education includes Bachelor of Science, Bayero University Kano. Well suited for text-focused AI training, including legal document review, compliance annotation, and rubric-based quality evaluation.
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You conducted sentiment analysis and content review for social media posts, customer feedback, and product reviews. You categorized tone and flagged policy-violating content according to annotation rules. You consistently maintained guideline adherence to support downstream moderation and analytics. • Labeled sentiment/tone for user-generated content • Flagged policy-violating text per project criteria • Performed content review and QA against labeling rules • Escalated and resolved ambiguous or edge cases
You transcribed audio files to text with high accuracy while applying project-specific formatting and guidance. You captured speaker diarization details, timestamps, and non-verbal cues when required. You ensured transcriptions met quality standards during review and validation. • Produced time-aligned transcripts • Added speaker diarization, timestamps, and non-verbal cues • Maintained high transcription accuracy per benchmark reviews • Followed transcription guidelines across different projects
You annotated images and video frames for object detection and segmentation tasks using bounding boxes and polygon-based labels. You applied keypoint labels where required, matching client-defined taxonomies and label schemas. You performed quality checks to keep outputs consistent and compliant with project specifications. • Created bounding box, polygon, and keypoint annotations • Labeled object regions for detection and segmentation use cases • Followed client taxonomies and annotation guidelines • Achieved high accuracy through quality review and edge-case handling
You performed text labeling for NLP datasets, including intent classification, named entity recognition (NER), and part-of-speech tagging according to client guidelines. You ensured consistent label application and accuracy during iterative quality reviews. You resolved edge cases through escalation and peer review to maintain benchmark performance. • Labeled intents, entities, and grammatical tags for NLP tasks • Followed complex guideline instructions and taxonomy requirements • Maintained accuracy above 95% on quality review benchmarks • Adapted to multiple concurrent projects and new task interfaces
Bachelor of Science, Accounting
Bachelor of Science, Education (Higher National Diploma/Bachelor of Science Equivalent)
UI/UX Designer
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