For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
K
Kabirat K.

Kabirat K.

Nigeria flagKaduna/ Nigeria, Nigeria

Key Skills

Software

No software listed

Top Subject Matter

No subject matter listed

Top Data Types

No data types listed

Top Task Types

No task types listed

Freelancer Overview

i am a well detail-oriented and highly adaptable AI data labeling and annotation specialist with experience supporting AI training projects through accurate text classification, sentiment analysis, content moderation, and data quality review. Skilled in following annotation guidelines, maintaining consistency across large datasets, and delivering high-quality outputs within deadlines. i'm experienced in working with digital communities, content creation, and online research, which has strengthened my ability to understand context, identify patterns, and label data accurately. Passionate about contributing to the development of reliable and ethical AI systems while continuously learning new tools and workflows in the AI and data annotation space.

Labeling Experience

AI Data Annotation & Quality Assurance Specialist

TextTextData CollectionData Collection

Worked on AI training and data annotation projects focused on improving machine learning model accuracy for conversational AI and social media analysis. Responsibilities included labeling and categorizing text data, sentiment analysis, intent classification, content moderation tagging, and reviewing annotations for consistency and quality. Handled large datasets containing customer conversations, online comments, and user-generated content while following detailed annotation guidelines and quality assurance standards. Maintained high annotation accuracy through regular reviews, feedback implementation, and consistency checks to ensure reliable training data for AI models. Collaborated with remote teams and project managers to meet deadlines and improve workflow efficiency while maintaining data confidentiality and accuracy standards.

2025 - 2026