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Data Annotation Tech
Labelbox
Label Studio
Mindrift
Toloka
Image
Video
Text
Bounding Box
Object Detection
Text Generation
Question Answering
Text Summarization
RLHF
Fine-tuning
Transcription
Evaluation/Rating
Data CollectionWith over two years of hands-on experience in AI training data and data labeling, I've built a strong track record in ensuring high quality datasets that power better-performing models. At TOLOKA AI, I worked as an AI Training Data Specialist, where I evaluated and ranked over 500 AI-generated outputs every week across multimodal tasks (text, images, and audio). I applied strict quality criteria like accuracy, coherence, contextual relevance, and non-ambiguity to refine training data and reduce inconsistencies. This role sharpened my ability to spot edge cases quickly and maintain strong scoring consistency even as guidelines evolved rapidly. Earlier, as an AI Data Annotation & Quality Assurance Contributor at ATLAS CAPTURE, I annotated and reviewed large volumes of text and structured datasets, resolving over 500 ambiguous cases weekly. My detailed QA reviews and error corrections helped improve overall dataset accuracy by 12%. I also gained valuable experience in audio data at LUEL AI, recording high-quality speech samples and validating transcripts for natural delivery and pronunciation standards, consistently achieving a 95%+ approval rate. What sets me apart is my combination of technical precision and practical insight. I hold an AI Data Annotation Certification from Micro 1, and I've worked across the full data pipeline: from raw annotation and collection to evaluation, ranking, and quality improvement. My background in assessing LLM outputs for reasoning quality, instruction adherence, and hallucination detection (at MICRO 1) gives me a deeper understanding of what makes training data truly effective. I'm fluent in English (C2), native in Igbo and Pidgin English, and passionate about contributing to more reliable and inclusive AI systems.
ImageEvaluation/RatingServed as an AI Training Data Specialist, specializing in evaluating and ranking AI-generated outputs for multimodal tasks with a strong focus on image-related prompts and responses. My core responsibility was carefully analyzing AI-generated images and determining which prompt better described the output, while assessing overall quality, accuracy, and alignment.
ImageBounding BoxWorked as an Image Annotator for Blend, focusing on high-precision bounding box annotation for computer vision training datasets. I accurately drew and labeled tight bounding boxes around target objects in diverse images, ensuring consistency, minimal overlap, and adherence to strict annotation guidelines.
Bachelor of Environmental Health Science, Environmental Health Science
English-Igbo and English-Pidgin interpreter and mock assessment evaluator
