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Label Studio
Appen
Text
Audio
Image
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Classification
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RLHF
SegmentationData Annotation Specialist — AI Training Project (Contract). Brings 6+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Label Studio, Appen, and N. Education includes Bachelor of Science, University of Lagos (2020). AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Classification, Transcription, and RLHF.
ImageSegmentationCompleted computer vision image annotation using bounding boxes, polygons, and semantic segmentation. Followed labeling standards to produce high-quality annotations for image understanding pipelines. Reviewed and audited annotations to improve accuracy at both individual and team levels. • Bounding box annotation • Polygon annotation • Semantic segmentation labeling • Quality review and auditing
TextRLHFPerformed RLHF response ranking and preference labeling to support large language model fine-tuning projects. Followed complex annotation guidelines to maintain consistent evaluations across multiple prompt-response pairs. Conducted quality-focused review activities to ensure label reliability for model training. • RLHF preference labeling • Response ranking for LLM fine-tuning • Guideline adherence for evaluation consistency • Training-data quality assurance
AppenAudioTranscriptionTranscribed and labeled audio datasets for speech recognition model training with very high transcription accuracy. Ensured labeled outputs were consistent with project specifications for reliable ASR model learning. Coordinated with the team to address ambiguities encountered during labeling. • Audio transcription labeling • Structured submission of transcribed outputs • Accuracy-focused quality control • Edge-case resolution support
Label StudioTextClassificationAnnotated 30,000+ text samples for sentiment analysis and intent classification to train NLP models and improve downstream accuracy. Applied multi-label classification to large social media datasets to strengthen classifier performance. Collaborated with ML engineers to clarify edge cases and refine annotation guidelines. • Sentiment analysis label creation • Intent classification labeling • Multi-label classification on social media • Guideline clarification and edge-case handling
TextReviewed and classified 80+ content items daily for policy compliance and category labeling. Maintained strong inter-annotator agreement to ensure label consistency across moderation and classification tasks. Flagged and escalated edge cases to senior reviewers to improve guideline documentation. • Policy compliance review • Category labeling/classification • Inter-annotator agreement maintenance • Edge-case escalation for guideline improvement
Bachelor of Science, Computer Science
Senior Data Labeling Specialist
Data Annotation Specialist
