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Salihu Mubarak

@salihumubarak

Message

Senior image and video annotation specialist improving AI data quality.

Nigeria

Message

What I'm looking for

I’m looking for fully remote work improving AI data quality—annotation accuracy, guideline compliance, and QA. I want to support multimodal and temporal labeling for frontier models, collaborate with project leads, and maintain high throughput.

I’m a detail-oriented Computer Science professional with 5+ years of experience in image and video annotation, AI data labeling, and multimodal dataset development. I support large-scale training pipelines by focusing on visual interpretation, temporal sequence analysis, and annotation quality assurance.

In my recent role as a Senior Image & Video Annotator (remote contract), I annotated 10,000+ images and video clips for multimodal AI training datasets. I label object detection, scene understanding, emotion recognition, and action classification while validating structural correctness, contextual relevance, and guideline compliance to achieve a 98.5% accuracy rate.

I also worked as an AI Data Labeler & QA Specialist, where I applied detailed annotation guidelines, audited peer work, and reduced error rates by over 15% across project batches. I’m comfortable using tools like CVAT and Labelbox, contributing to high-quality datasets for frontier multimodal model development, and delivering consistently with zero missed deadlines in remote settings.

Experience

Work history, roles, and key accomplishments

Current

Senior Image & Video Annotator

Current

Scale AI

Jan 2022 - Present (4 years 5 months)

Annotated 10,000+ images and video clips for multimodal AI training datasets, including object detection, scene understanding, emotion recognition, and action classification. Achieved 98.5% accuracy through structural/contextual validation and guideline compliance, and improved multimodal perception benchmarks via high-quality dataset contributions.

Multimodal Datasets Object Detection Temporal Sequence Labeling Annotation Quality Assurance Benchmarking

AI Data Labeler & QA Specialist

Remotasks

Mar 2020 - Dec 2021 (1 year 9 months)

Labeled and audited diverse image and video datasets for computer vision models, ensuring consistent, high-quality annotations across concurrent AI projects. Reduced annotation error rates by 15%+ through peer review and QA against project quality benchmarks while using bounding box, polygon, keypoint, and semantic segmentation labeling.

Data Labeling Bounding Boxes Polygon Segmentation Keypoint Labeling Peer Annotation Auditing CVAT Labelbox

Freelance Video Editor & Analyst

Self Employed

Jun 2018 - Feb 2020 (1 year 8 months)

Produced and edited short-form video content for clients, applying strong visual analysis to identify scene structure and storytelling flow. Managed multiple remote projects simultaneously, demonstrating consistent delivery, time management, and independent work performance.

Video Editing Scene And Narrative Analysis content analysis Short Form Video Production Adobe Premiere Pro DaVinci Resolve Remote Client Delivery Time Management

Education

Degrees, certifications, and relevant coursework

Confluence University of Science and Technology

Bachelor of Science, Computer Science

2014 - 2018

Earned a Bachelor of Science in Computer Science from Confluence University of Science and Technology (2014–2018). Coursework included Computer Vision, Machine Learning, Data Structures, and Digital Media Processing.