I have hands-on experience working on a variety of data labeling and AI training projects across computer vision, NLP, and search relevance tasks. My work has focused on producing high-quality annotations that support machine learning model accuracy and reliability.
In computer vision projects, I’ve annotated images and videos for object detection, classification, and attribute tagging, including vehicles, pedestrians, obstacles, and environmental elements. This involved handling complex cases such as occlusion, truncation, motion blur, and low-visibility scenarios, following strict annotation and quality guidelines.
I’ve also worked on LiDAR and sensor-based annotation tasks, identifying objects in different spatial contexts and ensuring consistency across frames. These projects required attention to spatial accuracy and cross-modal alignment.
For NLP and search relevance tasks, I’ve participated in query–result relevance rating, intent classification, and content evaluation, helping improve ranking systems and user experience. I’ve also completed AI safety, red teaming, and model evaluation tasks, assessing responses for accuracy, bias, and policy compliance.
Across all projects, I prioritize annotation accuracy, guideline adherence, and quality control, and I’m comfortable working with detailed instructions, review cycles, and productivity targets.
ExpertEnglishSpanishSwahili
Labeling Experience
Data Annotation Specialist
Axiom AITextEntity Ner Classification
As a Data Annotation Specialist at NVIDIA AI, I labeled and validated large-scale text datasets for AI model training and NLP applications. I consistently followed strict annotation guidelines and performed quality assurance checks for data consistency. I worked with multilingual datasets, identifying edge cases and annotation errors to improve ML models. • Labeled and validated text datasets for NLP tasks
• Maintained high accuracy in annotation and quality control
• Supported enterprise-level AI model development
• Worked on multilingual projects (English, Spanish, Swahili)
As a Data Annotation Specialist at NVIDIA AI, I labeled and validated large-scale text datasets for AI model training and NLP applications. I consistently followed strict annotation guidelines and performed quality assurance checks for data consistency. I worked with multilingual datasets, identifying edge cases and annotation errors to improve ML models. • Labeled and validated text datasets for NLP tasks
• Maintained high accuracy in annotation and quality control
• Supported enterprise-level AI model development
• Worked on multilingual projects (English, Spanish, Swahili)
2024 - 2025
Freelancer – Data, Writing & AI Tasks
CrowdsourceImageClassificationText Generation
As a Freelancer on Fiverr, I completed data labeling, research, and various AI-related tasks under client direction. I delivered high-accuracy annotated data within strict deadlines, supporting AI and ML projects. I maintained repeat contracts and excellent client feedback throughout multiple assignments. • Completed text labeling and AI training tasks for remote clients
• Delivered consistent, high-quality labeled datasets
• Maintained strong communication with clients
• Supported diverse AI content review jobs
As a Freelancer on Fiverr, I completed data labeling, research, and various AI-related tasks under client direction. I delivered high-accuracy annotated data within strict deadlines, supporting AI and ML projects. I maintained repeat contracts and excellent client feedback throughout multiple assignments. • Completed text labeling and AI training tasks for remote clients
• Delivered consistent, high-quality labeled datasets
• Maintained strong communication with clients
• Supported diverse AI content review jobs