Mustafa Khalil

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Labelbox

Mercor

Mindrift

OneForma

Remotasks

SuperAnnotate

Toloka

Telus

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Medical Dicom

Top Task Types

Data Collection

Diagnosis

Evaluation Rating

Prompt Response Writing SFT

Translation Localization

Freelancer Overview

I have experience working on AI data labeling and evaluation tasks across different types of projects. My work mainly involves reviewing and rating model outputs, labeling text data, following detailed guidelines, and making consistency and quality checks to ensure accurate results. I’ve contributed to AI training projects through platforms such as Outlier, Aligner, and Appen, where attention to detail and clear judgment were important. I’m comfortable working with repetitive tasks, structured instructions, and feedback-driven workflows, and I always focus on accuracy rather than speed. In addition to general AI data work, I have a background in healthcare as a Pharm-D student, which helps when dealing with medical or healthcare-related content. This allows me to better understand domain-specific information when needed, while still being flexible enough to work on non-medical, general AI projects.

Labeling Experience

UHRS Tasks – Search & Content Evaluation

ClickworkerTextObject DetectionEvaluation Rating

Worked on UHRS tasks through Clickworker involving evaluation and rating of search results and content. Tasks focused on assessing relevance, usefulness, and quality based on clear task-specific guidelines. The work required consistency, attention to detail, and careful judgment to ensure accurate and reliable evaluations across different task types.

Worked on UHRS tasks through Clickworker involving evaluation and rating of search results and content. Tasks focused on assessing relevance, usefulness, and quality based on clear task-specific guidelines. The work required consistency, attention to detail, and careful judgment to ensure accurate and reliable evaluations across different task types.

2024

Aether Project – Text Evaluation & AI Training

Scale AITextText GenerationObject Detection

Worked on the Aether project focused on evaluating AI-generated text responses. Tasks included reviewing model outputs, assessing relevance, clarity, and correctness, and assigning ratings based on detailed project guidelines. The work required careful judgment, consistency, and attention to detail to help improve overall model performance.

Worked on the Aether project focused on evaluating AI-generated text responses. Tasks included reviewing model outputs, assessing relevance, clarity, and correctness, and assigning ratings based on detailed project guidelines. The work required careful judgment, consistency, and attention to detail to help improve overall model performance.

2025 - 2025

Voice Activity Detection (VAD) – Audio Labeling Project

LabelboxAudioSegmentationEvaluation Rating

Worked on a Voice Activity Detection (VAD) project focused on audio segmentation. The task involved reviewing audio clips and accurately segmenting regions that contain human speech versus non-speech segments, following clear project guidelines. The work required careful listening, consistency in segmentation decisions, and attention to detail to support high-quality AI audio training data.

Worked on a Voice Activity Detection (VAD) project focused on audio segmentation. The task involved reviewing audio clips and accurately segmenting regions that contain human speech versus non-speech segments, following clear project guidelines. The work required careful listening, consistency in segmentation decisions, and attention to detail to support high-quality AI audio training data.

2025 - 2025

Education

Work History