Abdelhakeem Anwar

Key Skills

Software

Data Annotation Tech

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Image

Top Task Types

Classification

Computer Programming Coding

Entity Ner Classification

Translation Localization

Freelancer Overview

I am an experienced AI data labeling specialist with a strong background in Natural Language Processing (NLP), Mathematics, and Linguistics. I have worked on a range of tasks including text classification, named entity recognition (NER), sentiment analysis, and mathematical problem annotation. My experience also includes evaluating AI-generated content for accuracy, coherence, and logical consistency across multiple languages and subjects. In addition to linguistic tasks, I bring deep analytical thinking and precision from my background in mathematics. I have contributed to projects involving step-by-step reasoning, symbolic logic labeling, and the validation of solutions generated by large language models (LLMs). My attention to detail, multilingual capability, and cross-domain versatility make me a valuable asset in AI training and data annotation workflows.

Labeling Experience

Arabic-English NER & Text Classification for LLM Fine-Tuning

Data Annotation TechTextTranslation LocalizationRLHF

Arabic and English. My tasks included named entity recognition (NER), sentiment and topic classification, and evaluation of AI-generated responses for grammatical correctness, factual accuracy, and tone appropriateness. I also contributed to fine-tuning efforts by generating prompts and evaluating completions using RLHF techniques. Additionally, I annotated mathematical problem-solving steps to support math reasoning models. All work followed strict quality guidelines and peer-reviewed QA workflows.

Arabic and English. My tasks included named entity recognition (NER), sentiment and topic classification, and evaluation of AI-generated responses for grammatical correctness, factual accuracy, and tone appropriateness. I also contributed to fine-tuning efforts by generating prompts and evaluating completions using RLHF techniques. Additionally, I annotated mathematical problem-solving steps to support math reasoning models. All work followed strict quality guidelines and peer-reviewed QA workflows.

2024 - 2025

Education

Work History