For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
S
Samar A.

Samar A.

"Expert in AI computer vision data labeling for self-driving cars

Egypt flagalexandria, Egypt

Key Skills

Software

AppenAppen
ClickworkerClickworker
OneFormaOneForma
TelusTelus

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

Bounding BoxBounding Box
Evaluation/RatingEvaluation/Rating
Text GenerationText Generation

Freelancer Overview

Of course. Here is a summary focusing on experience and key differentiators: My experience in AI training data encompasses the full lifecycle of data labeling, from annotation and quality assurance to the development of detailed guidelines for complex tasks. I have extensive hands-on expertise in multi-modal data, including precise image bounding boxes and segmentation for computer vision models, as well as text annotation for NLP tasks like NER, sentiment analysis, and intent classification. My core skill is maintaining exceptionally high accuracy and consistency, even when working with large, complex datasets under tight deadlines. What sets me apart is my proactive approach to quality and efficiency. I have consistently been tasked with creating and refining annotation guidelines and training materials for new team members, which significantly improved project-wide consistency. Furthermore, I possess a strong analytical ability to identify edge cases and ambiguous data, which I then escalate with clear recommendations, directly contributing to the improvement of both the dataset quality and the underlying model's performance. This combination of meticulous execution and strategic oversight ensures the data I deliver is not just accurate, but truly model-ready.

Education

K

Kafr El Sheikh University

Bachelor of Commerce, Accounting

Bachelor of Commerce
2012 - 2012

Work History

G

Gorilla Grocery

Chat Support Specialist

N/A
2022 - 2023
M

MetLife Alico

Customer Advisor

N/A
2020 - 2022