Fawaz A.

Key Skills

Software

Other

Appen

Labelbox

Top Subject Matter

Technology & Software – Prompt Engineering, Text Classification & Response Quality Ranking

Computer Vision & Media – Image Classification, Content Moderation & General Knowledge Annotation

Artificial Intelligence – LLM Alignment, RLHF & Chatbot Response Evaluation

Top Data Types

Document

Text

Image

Top Task Types

Data Collection

Bounding Box

Segmentation

Classification

RLHF

Text Generation

Text Summarization

Question Answering

Freelancer Overview

Chemical Engineering SIWES (Undergraduate) — Geometrics Synergy Services Limited (Ikeja Airforce Fleet). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering, Covenant University (2025) and Bachelor of Engineering (Industry Training), Covenant University (2022). AI-training focus includes data types such as Document and labeling workflows including Data Collection.

Labeling Experience

Data Annotation (Handshake AI)

TextRLHF

Performed RLHF (Reinforcement Learning from Human Feedback) data annotation tasks on the Handshake AI platform, evaluating and ranking LLM-generated conversational responses for quality, helpfulness, accuracy, and safety. Reviewed chatbot outputs across diverse general knowledge prompts, providing structured preference rankings and written rationales to support reward model training. Adhered strictly to project guidelines and quality benchmarks throughout the engagement.

2025 - 2026

AI annotation contributor [Labelbox]

ImageClassification

Performed image classification tasks on a large-scale dataset using the Labelbox annotation platform. Assigned accurate labels to images across multiple categories, adhering to strict project guidelines and quality standards. Maintained high consistency and accuracy scores throughout the project, contributing to computer vision model training pipelines.

2023 - 2025

AI Data Annotator (Appen)

TextClassification

Completed large-scale annotation tasks including text classification, entity recognition, sentiment analysis, and relevance rating across diverse datasets. Maintained high inter-annotator agreement rates and consistently delivered work within strict quality thresholds with minimal rework required.

2023 - 2024

Education

Work History