Abdulhafeez Abdulhazeez

Key Skills

Software

Appen

Remotasks

Toloka

Top Subject Matter

AI training and evaluation

Top Data Types

Text

Audio

Top Task Types

Text Generation

Question Answering

Red Teaming

Transcription

Evaluation Rating

Computer Programming Coding

Data Collection

Function Calling

Prompt Response Writing SFT

Text Summarization

Point Key Point

Entity Ner Classification

Classification

Freelancer Overview

Freelance AI Data Annotator & Evaluator. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, Remotasks, and Toloka. Education includes Bachelor of Science, Ibrahimbadamosi Babangida University Lapai Niger State (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Freelance AI Data Annotator & Evaluator

AppenText

As a Freelance AI Data Annotator & Evaluator, I annotated and labeled large-scale datasets to support supervised learning pipelines. I ranked and compared AI responses using strict rubrics covering accuracy, relevance, safety, and instruction-following. I ensured consistency and quality across high-volume annotation tasks and improved data reliability through clear rationale for labeling choices. • Maintained high quality while meeting tight SLAs and quotas. • Identified and flagged edge cases and annotation ambiguities. • Supported improvement of annotation standards through proactive feedback. • Worked with text, audio, and image data using leading platforms.

As a Freelance AI Data Annotator & Evaluator, I annotated and labeled large-scale datasets to support supervised learning pipelines. I ranked and compared AI responses using strict rubrics covering accuracy, relevance, safety, and instruction-following. I ensured consistency and quality across high-volume annotation tasks and improved data reliability through clear rationale for labeling choices. • Maintained high quality while meeting tight SLAs and quotas. • Identified and flagged edge cases and annotation ambiguities. • Supported improvement of annotation standards through proactive feedback. • Worked with text, audio, and image data using leading platforms.

2025 - Present

Education

Work History