Mahmud Alkali

Key Skills

Software

Other

Lionbridge

Top Subject Matter

AI/Video Analysis

Generative AI/Image Evaluation

AI/Text Data

Top Data Types

Video

Image

Text

Top Task Types

Action Recognition

Classification

Freelancer Overview

AI Data Labeler (Video Annotation) – Atlas. Core strengths include Other and Lionbridge. Education includes Bachelor of Engineering, Federal University of Technology (2028). AI-training focus includes data types such as Video, Image, and Text and labeling workflows including Action Recognition, Evaluation, and Rating.

Labeling Experience

AI Data Contributor – Lionbridge aurora studio

LionbridgeTextClassification

I executed highly accurate labeling and annotation of data across multiple text formats for AI model development. I closely followed instructions to ensure correct label application and performed rigorous quality control to maximize data accuracy. I successfully managed several labeling tasks simultaneously while maintaining high standards of reliability. • Classified and annotated various text datasets. • Ensured thorough quality checks for labeled data. • Applied rapid task-switching to meet deadlines. • Improved AI reliability through precise labeling.

I executed highly accurate labeling and annotation of data across multiple text formats for AI model development. I closely followed instructions to ensure correct label application and performed rigorous quality control to maximize data accuracy. I successfully managed several labeling tasks simultaneously while maintaining high standards of reliability. • Classified and annotated various text datasets. • Ensured thorough quality checks for labeled data. • Applied rapid task-switching to meet deadlines. • Improved AI reliability through precise labeling.

2025 - 2026

Human Evaluator (Image SxS) – Yupp ai

OtherImage

I worked as a human evaluator conducting side-by-side image comparisons for generative AI models. My tasks involved analyzing and ranking AI-generated images based on instruction adherence, visual quality, and artistic logic. I contributed directly to fine-tuning AI models by providing critical feedback and ratings on model outputs. • Evaluated AI-generated images for accuracy and quality. • Ranked image outputs according to set criteria. • Identified hallucinations and errors in visual data. • Helped improve model performance via detailed feedback.

I worked as a human evaluator conducting side-by-side image comparisons for generative AI models. My tasks involved analyzing and ranking AI-generated images based on instruction adherence, visual quality, and artistic logic. I contributed directly to fine-tuning AI models by providing critical feedback and ratings on model outputs. • Evaluated AI-generated images for accuracy and quality. • Ranked image outputs according to set criteria. • Identified hallucinations and errors in visual data. • Helped improve model performance via detailed feedback.

2025 - 2026

AI Data Labeler (Video Annotation) – Atlas

OtherVideoAction Recognition

I was responsible for accurately labeling and describing actions within videos for AI systems. My role required identifying individual or object actions according to specific rules to ensure consistent labeling throughout each video. I also performed quality testing to verify label accuracy and contributed to improving AI recognition capabilities. • Labeled actions and objects frame-by-frame in videos. • Conducted quality assurance for labeled data. • Applied strict annotation guidelines for consistency. • Supported AI training through detailed annotations.

I was responsible for accurately labeling and describing actions within videos for AI systems. My role required identifying individual or object actions according to specific rules to ensure consistent labeling throughout each video. I also performed quality testing to verify label accuracy and contributed to improving AI recognition capabilities. • Labeled actions and objects frame-by-frame in videos. • Conducted quality assurance for labeled data. • Applied strict annotation guidelines for consistency. • Supported AI training through detailed annotations.

2025 - 2026

Education

Work History