Marwan N.

Key Skills

Software

Other

Top Subject Matter

AI training dataset annotation across text | Coding evaluation

Image and Video Domain Expertise

Audio Domain Expertise

Top Data Types

Audio

Computer Code Programming

Video

Top Task Types

Data Collection

RLHF

Evaluation/Rating

Computer Programming/Coding

Fine-tuning

Text Summarization

Text Generation

Object Detection

Bounding Box

Segmentation

Classification

Transcription

Prompt + Response Writing (SFT)

Freelancer Overview

I have over one year of experience working in AI training data, data annotation, coding, and general AI-related projects with multiple companies and remote AI platforms. My experience includes text annotation, image labeling, video annotation, prompt engineering, AI response evaluation, data validation, and coding-related tasks such as debugging, code review, code generation evaluation, and testing AI-generated programming solutions. I have worked with large datasets and detailed project guidelines while maintaining high accuracy, consistency, and quality standards under tight deadlines. In addition to annotation work, I have a strong background in Artificial Intelligence, Data Science, and Machine Learning, along with hands-on experience using Python for automation, data analysis, and AI-related tasks. My understanding of AI systems, model behavior, and training workflows helps me contribute effectively to improving model performance and data quality. Working with more than two companies and AI training platforms has strengthened my adaptability, analytical thinking, communication, and problem-solving skills, allowing me to deliver reliable, high-quality results in fast-paced remote environments.

Labeling Experience

AI/ML Engineering Trainee at DEPI – Microsoft Machine Learning Engineer Track (Egypt)

OtherText

Built end-to-end ML/DL pipelines and developed practical components for model training and evaluation during an AI/ML engineering trainee program. Completed structured curriculum aligned with the Microsoft Machine Learning Engineer career path. Applied supervised and unsupervised learning approaches and performed model evaluation as part of pipeline development. • Developed ML/DL pipelines including NLP components. • Worked on data preprocessing and feature engineering with Python and Scikit-learn. • Applied neural networks and classical ML algorithms. • Performed model evaluation to assess training outcomes.

2025 - Present

AI Trainer / Data Annotator at Outlier AI (Remote)

OtherComputer Code ProgrammingEvaluation/Rating

Evaluated AI-generated code and textual outputs to improve model alignment across coding, transcription, and classification tasks. Conducted data labeling and quality assurance to produce high-accuracy training datasets. Reviewed and ranked model responses using defined rubrics to support RLHF-based training workflows. • Labeled and performed QA on training data. • Scored and ranked model responses using rubrics. • Supported alignment across coding, transcription, and classification. • Contributed feedback for RLHF-based model improvement.

2025 - Present

AI Trainer / Data Annotator at RWS Group (Remote)

OtherTextData Collection

Served as an AI trainer and data annotator for large-scale multimodal datasets used to train models. Performed annotation and validation following detailed annotation guidelines to support consistent dataset quality. Escalated edge cases to improve labeling consistency across distributed teams. • Annotated and validated text, image, audio, and video samples. • Followed rigorous quality control processes during labeling. • Flagged edge cases and escalated them to maintain standards. • Supported distributed annotation workflows to improve consistency.

2025 - Present

Education

Work History