Abdulquadir Abdulraheem

I’m a detail-oriented video data labeler and linguistics specialist with experience in translation, interpretation, audio and voice annotation, content writing, and multimedia data annotation for AI projects. I bring a strong computer science foundation from the Federal University of Technology, Minna.

In my recent freelance work, I annotate large-scale video datasets for autonomous driving, retail analytics, and human-computer interaction models. I translate documents accurately between French and English, and I perform French and English audio annotation and speaker diarization for AI speech recognition systems.

I’m technically proficient in high-volume, precision-driven data annotation for machine learning and computer vision models, with expertise in object detection, multi-frame tracking semantic segmentation, and temporal action localization. I focus on maintaining 99%+ accuracy rates under tight deadlines while collaborating with international AI development teams.

I also support quality and delivery through structured workflows, QA, and cross-functional collaboration. I’ve labeled over 50,000 video frames and images with a 99.1% quality score, and I improved team throughput by 15% through guideline updates.