Hend Hamaden

Key Skills

Software

Appen

Top Subject Matter

Scientific Domain Expertise

Chemistry Domain Expertise

Biomedical Domain Expertise

Top Data Types

Audio

Image

Text

Top Task Types

Data Collection

Evaluation Rating

Object Detection

Text Generation

Freelancer Overview

AI Trainer & Data Annotator. Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Outlier. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

A13019 - Livingstone-E LLM Project

AppenVideoData Collection

Task 2: Caption Dataset Review and Correction Task Objective: To review and correct various types of generated Caption data, which are derived from a combination of Video, Audio, and Subtitle Modalities, ensuring final quality Key Responsibilities: Evaluate whether the caption was created considering only the given Modality (V, A, or S) Inspect for Hallucination (inclusion of non-existent content) in the caption Directly correct captions that fail to meet the evaluation criteria.

Task 2: Caption Dataset Review and Correction Task Objective: To review and correct various types of generated Caption data, which are derived from a combination of Video, Audio, and Subtitle Modalities, ensuring final quality Key Responsibilities: Evaluate whether the caption was created considering only the given Modality (V, A, or S) Inspect for Hallucination (inclusion of non-existent content) in the caption Directly correct captions that fail to meet the evaluation criteria.

2025 - 2025

AI Trainer & Data Annotator

Text

As an AI Trainer & Data Annotator at Outlier, I annotated, evaluated, and provided feedback on scientific and chemistry-related datasets for language model training. This included performing data annotation across audio, text, and image tasks, as well as evaluating AI responses for accuracy and quality. My responsibilities encompassed prompt design, quality assessment, and subject-matter expert review in both English and Arabic languages. • Annotated chemistry and biomedical texts to enhance LLM performance. • Evaluated AI outputs for scientific correctness and domain relevance. • Designed and refined prompts for diverse scientific and general subjects. • Participated in language data evaluation tasks in both Arabic and English.

As an AI Trainer & Data Annotator at Outlier, I annotated, evaluated, and provided feedback on scientific and chemistry-related datasets for language model training. This included performing data annotation across audio, text, and image tasks, as well as evaluating AI responses for accuracy and quality. My responsibilities encompassed prompt design, quality assessment, and subject-matter expert review in both English and Arabic languages. • Annotated chemistry and biomedical texts to enhance LLM performance. • Evaluated AI outputs for scientific correctness and domain relevance. • Designed and refined prompts for diverse scientific and general subjects. • Participated in language data evaluation tasks in both Arabic and English.

2025 - Present

Education

Work History