Abdullah Sami

Key Skills

Software

AWS SageMaker

Anno-Mage

Appen

Argilla

Axiom AI

Clickworker

CloudFactory

CrowdFlower

CrowdSource

CVAT

Data Annotation Tech

Dataloop

Datatroniq

Datumbox

Datasaur

Datature

Dataturk

Deep Systems

Diffgram

Doccano

Encord

Figure Eight

Google Cloud Vertex AI

Hasty

HiveMind

Humanatic

iMerit

Img Lab

Kili Technology

Labelbox

LabelImg

Label Studio

LightTag

Lionbridge

Mighty AI

Mindrift

OneForma

OpenCV AI Kit (OAK)

Playment

Prodigy

Redbrick AI

Remotasks

Roboflow

Sama

Scale AI

Sloth

Snorkel AI

SuperAnnotate

Supervisely

Surge AI

Tagtog

Toloka

Telus

Trilldata Technologies

VoTT

V7 Labs

Other

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Text

Top Task Types

Audio Recording

Computer Programming Coding

Data Collection

Question Answering

Translation Localization

Freelancer Overview

I am an experienced AI training data specialist with a strong background in data labeling, annotation, and quality evaluation for machine learning models. Over time, I have worked on diverse projects involving natural language processing (NLP), image annotation, text classification, sentiment analysis, and chatbot training, ensuring that datasets meet high-quality standards. My expertise lies in maintaining accuracy, consistency, and efficiency while following strict project guidelines and quality benchmarks. I excel at analyzing responses, identifying edge cases, and providing detailed justifications to improve AI model performance. With strong attention to detail, I am skilled in evaluating responses based on complex rubrics, ensuring data quality, and collaborating on AI model training workflows. My adaptability and ability to quickly learn new labeling tools and guidelines make me an asset in delivering high-quality AI training datasets.

Labeling Experience

AI Model Response Evaluation & Data Labeling

AppenText

Worked on a large-scale AI training dataset aimed at improving the performance of conversational AI systems. My role involved evaluating, labeling, and annotating AI-generated responses across multiple contexts and domains, ensuring alignment with project-specific rubrics and quality standards. Key contributions: Evaluated and annotated 10,000+ AI-generated responses with 99% accuracy. Performed response ranking, classification, and scoring to improve AI response quality. Wrote detailed justifications to explain labeling decisions and improve dataset transparency. Ensured strict compliance with project guidelines and quality benchmarks. Collaborated with QA teams to identify edge cases and inconsistencies, enhancing dataset quality by 25%.

Worked on a large-scale AI training dataset aimed at improving the performance of conversational AI systems. My role involved evaluating, labeling, and annotating AI-generated responses across multiple contexts and domains, ensuring alignment with project-specific rubrics and quality standards. Key contributions: Evaluated and annotated 10,000+ AI-generated responses with 99% accuracy. Performed response ranking, classification, and scoring to improve AI response quality. Wrote detailed justifications to explain labeling decisions and improve dataset transparency. Ensured strict compliance with project guidelines and quality benchmarks. Collaborated with QA teams to identify edge cases and inconsistencies, enhancing dataset quality by 25%.

2024 - 2025

Education

Work History