Mazin

Key Skills

Software

Remotasks

Toloka

Top Subject Matter

Arabic–English LLM evaluation

RLHF feedback

and AI alignment

Top Data Types

Text

Document

Image

Top Task Types

RLHF

Freelancer Overview

AI Trainer & Data Evaluator (Outlier). Core strengths include Outlier, Prolific, and Remotasks. Education includes Bachelor of Science, Tanta University (2027). AI-training focus includes data types such as Text and Document and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Freelance AI Research Contributor (Prolific)

TextRLHF

Contributed structured preference data and written rationales for English-language AI/ML studies focused on output quality and safety. Participated in pipelines that require evaluating model responses and recording user preference signals to support RLHF research. Focused on consistent, structured data contribution to academic and industry training workflows. • Assessed model output quality, safety, and user preferences. • Supplied preference-related structured annotations and rationales. • Supported RLHF research pipeline inputs for downstream modeling. • Worked within study instructions and quality requirements for data collection.

2026 - Present

AI Trainer & Data Evaluator (Outlier)

TextRLHF

Evaluated Arabic and English LLM responses using rubric-based frameworks across reasoning, instruction-following, safety, and cultural alignment. Produced structured RLHF preference feedback with annotation rationales to support model fine-tuning workflows. Maintained high-quality reviewer scores across long-term annotation streams using established guidelines. • Evaluated coherence, factual accuracy, semantic consistency, and cultural sensitivity. • Provided preference ranking and written rationales for RLHF training. • Followed rubric-based QA workflows and tracked quality across batches. • Completed evaluation tasks in MultiMango workflows including Aether coding assessments.

2023 - Present

Data Annotator (Remotasks)

RemotasksDocument

Annotated and labeled datasets for machine learning training pipelines using Remotasks batch workflows. Maintained accuracy on high-volume, time-sensitive annotation jobs across non-specified labeling categories. Followed task instructions to ensure reliable dataset contributions. • Completed dataset labeling batches for ML training. • Ensured consistent accuracy under time-sensitive conditions. • Applied annotation guidelines per task requirements. • Supported throughput expectations for large annotation volumes.

2023 - 2023

AI Data Evaluator (Toloka)

TolokaText

Performed AI evaluation tasks including search quality rating, content review, and data verification across multiple project types. Built expertise in evaluation workflows, quality assurance standards, and annotator guideline adherence. Contributed labeled judgments used to improve model and search-related behavior. • Conducted search quality rating and content review tasks. • Performed data verification activities per project instructions. • Followed annotator guidelines and QA requirements. • Developed foundational knowledge of AI evaluation standards.

2021 - 2023

Education

Work History