Ibegbunam Emmanuel

Detail-oriented freelance AI Data Contributor with 3+ years of hands-on experience in voice
recording, RLHF evaluation, and data annotation across multiple global platforms. Consistently
maintains 98%+ QA accuracy scores. Seeking remote AI training roles to contribute to frontier
model development.

CORE SKILLS
• AI Training: RLHF, Prompt Engineering, Hallucination Detection, Fact-Checking, Sentiment Analysis
• Data Annotation: Bounding Boxes, Polygons, Semantic Segmentation, Text Classification, NER
• Voice&Audio: Voice Recording, Audio Transcription, Quality Review, Noise Handling
• Platforms: Appen, CrowdGen, GTS Dash, uTest, Spout, Mercor
• QA Metrics: Accuracy Rate, Inter-Annotator Agreement, Guidelines Adherence, Gold Sets
• Tools: Labelbox, CVAT, Google Sheets, Notion