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Kingsley Chineke

@kingsleychineke

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AI Trainer and Data Annotator building RLHF datasets and evaluating LLM outputs for safer models.

Nigeria

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What I'm looking for

I’m seeking remote work, available up to 40 hours a week, where I can contribute to AI training and data annotation.

As an AI Trainer / Data Annotator, I’ve engineered and optimized data pipelines for image classification, audio transcription, and LLM fine-tuning. I use RLHF evaluation to rank, rewrite, and assess model responses, helping identify hallucinations, logic flaws, and non-compliant outputs.

At Hugo Technologies, I annotated images and video frames with CVAT and Paramingo, and timestamped more than 300 hours of conversational audio using the SRT Work Tool. I also onboarded and mentored junior annotators on tools and quality standards.

My legal training at Rivers State University informs my work evaluating model outputs and red teaming for safety and policy compliance. I’ve also ranked more than 10,000 prompt-response pairs and classified over 50,000 images for a product recognition model.

Experience

Work history, roles, and key accomplishments

AI Trainer / Data Annotator

Hugo Technologies

Jan 2024 - Jan 2026 (2 years)

Championed 3 complex multimodal projects encompassing media content tagging, image classification, and precise text transcription. Applied pixel-level accuracy to image and video frame annotations using CVAT and Paramingo, and leveraged the SRT Work Tool to log and timestamp 300+ hours of multi-speaker conversational audio.

CVAT Parimango SRT Image Classification Content Tagging Transcription Multimodal Labeling Data Annotation

Education

Degrees, certifications, and relevant coursework

Rivers State University

Bachelor of Laws (LL.B.), Law

2014 - 2019

Bachelor of Laws (LL.B.) from Rivers State University, 2014-2019. Applies formal training in legal analysis and rigorous text interpretation to dissect complex LLM outputs and draft precise adversarial prompts.