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DocumentAI Data Labeling & Prompt Evaluation Specialist. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Outlier AI, Handshake AI, and Scale AI. Education includes Bachelor of Engineering, Federal University of Technology, Minna (2025). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Bounding Box.
Applied object detection and classification labeling techniques to video-based datasets as part of AI training workflows, ensuring consistent frame-level annotation quality
Contributed to audio transcription and multilingual tagging tasks for speech recognition datasets. Delivered Yoruba and English language audio annotation including transcription and speaker labeling
As an AI Response Evaluator & Data Annotator at Handshake AI, I assessed the quality, safety, and user intent alignment of AI-generated outputs. I executed structured annotation tasks, identifying model errors and non-compliance cases in diverse task categories. I provided detailed rationales for all ratings to assist in model improvement workflows. • Evaluated outputs for hallucinations, unsafe content, and instruction adherence. • Delivered structured annotations requiring critical judgment on tone and factuality. • Supported improvement cycles by contributing nuanced feedback and critiques. • Worked remotely to ensure timely completion of distributed annotation assignments.
As an AI Data Labeling & Prompt Evaluation Specialist at Outlier AI, I evaluated and rated AI-generated responses in English and Yoruba across various qualitative metrics. I contributed to large-scale AI dataset creation, including RLHF tasks, head-to-head model evaluations, and vision/image annotations. I also crafted and refined prompts for LLMs, supporting diverse data pipelines. • Conducted nuanced human assessments for RLHF workflows and model comparison tasks. • Labeled visual content and completed instruction-following assessments for multimodal AI models. • Maintained high consistency and quality scores in batch processing environments. • Performed transcription and translation for Yoruba language data projects.
nnotated image datasets for multimodal AI model training including bounding box labeling, object detection, visual Q&A, and image description tasks. Maintained high accuracy across quality-audited batches on Outlier AI and Scale AI platforms.
Bachelor of Engineering, Electrical and Electronics Engineering
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