Seif Shehta

Key Skills

Software

Clickworker

Data Annotation Tech

Labelbox

OneForma

SuperAnnotate

Top Subject Matter

General Artificial Intelligence

Computer Vision/Object Detection

Top Data Types

Computer Code Programming

Image

Text

Audio

Top Task Types

Computer Programming Coding

Evaluation Rating

Object Detection

Prompt Response Writing SFT

RLHF

Freelancer Overview

AI Trainer, Data Annotation. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include AI training and evaluation regarding different aspects such as education, images, voices, content generation and more. Education includes Bachelor of Science in Engineering, Ain Shams University (2024) and High School Diploma, Sharkia STEM School (2024). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Object Detection.

Labeling Experience

Data Annotator, OneForma Company

OneformaImageObject Detection

I accurately labeled and categorized images to train machine learning models in object detection tasks as a data annotator for OneForma. The process required diligent attention to detail to ensure high-quality, reusable training datasets. My efforts supported the development of robust computer vision solutions. • Annotated images in a defined field for object recognition. • Ensured labeling accuracy and data integrity. • Collaborated to optimize dataset utility. • Used best practices in annotation workflows.

I accurately labeled and categorized images to train machine learning models in object detection tasks as a data annotator for OneForma. The process required diligent attention to detail to ensure high-quality, reusable training datasets. My efforts supported the development of robust computer vision solutions. • Annotated images in a defined field for object recognition. • Ensured labeling accuracy and data integrity. • Collaborated to optimize dataset utility. • Used best practices in annotation workflows.

2024 - Present

AI Trainer, Data Annotation

Text

I trained AI models by comparing their responses and providing thorough feedback across criteria such as trustworthiness and instruction adherence. My responsibilities included creating prompts and rubrics to guide AI model output and evaluating multiple responses for quality improvement. The work significantly contributed to enhancing AI model reliability and performance. • Compared and rated AI-generated text responses. • Provided structured feedback for model development. • Engineered prompts and scoring rubrics. • Focused on fine-tuning and evaluation tasks.

I trained AI models by comparing their responses and providing thorough feedback across criteria such as trustworthiness and instruction adherence. My responsibilities included creating prompts and rubrics to guide AI model output and evaluating multiple responses for quality improvement. The work significantly contributed to enhancing AI model reliability and performance. • Compared and rated AI-generated text responses. • Provided structured feedback for model development. • Engineered prompts and scoring rubrics. • Focused on fine-tuning and evaluation tasks.

2024 - Present

Prompt Engineer and Evaluator

TextPrompt Response Writing SFT

In this project, I crafted over 50 prompts and rubrics to guide AI models. I evaluated and compared more than 100 AI-generated responses, providing comprehensive analysis for model improvement. My work directly contributed to shaping AI model behavior and performance. • Designed prompts for varied response elicitation. • Formulated detailed rubrics for evaluation. • Compared responses across multiple models. • Provided actionable written feedback for model enhancement.

In this project, I crafted over 50 prompts and rubrics to guide AI models. I evaluated and compared more than 100 AI-generated responses, providing comprehensive analysis for model improvement. My work directly contributed to shaping AI model behavior and performance. • Designed prompts for varied response elicitation. • Formulated detailed rubrics for evaluation. • Compared responses across multiple models. • Provided actionable written feedback for model enhancement.

2025 - 2025

Education

Work History