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Nisreen Haddad

Nisreen Haddad

AI Models & Agents Trainer (Course Participant)

JORDAN flag
Amman, Jordan
$15.00/hrEntry LevelOtherCVATLabel Studio

Key Skills

Software

Other
CVATCVAT
Label StudioLabel Studio
DiffgramDiffgram
LabelImgLabelImg

Top Subject Matter

AI Language Models

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Prompt Response Writing SFT
Data Collection
Classification
Polygon
Cuboid
Segmentation
Bounding Box
Object Detection
Text Generation
Question Answering
Point Key Point
Entity Ner Classification

Freelancer Overview

AI Model Training Course Participant. Brings 20+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Business Administration, Arab University for Graduate Studies (2004) and Bachelor of Science, University of Jordan (2000). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT).

Entry LevelArabicEnglish

Labeling Experience

AI Model Training Course Participant

OtherTextPrompt Response Writing SFT
As an ongoing student in the Claude Code Course by Anthropic, I am currently engaged in training AI models through prompt and response writing. The course emphasizes hands-on fine-tuning of language models for better conversational capabilities. It involves generating, critiquing, and improving AI output based on provided prompts. • Apply best practices for supervised fine-tuning (SFT). • Create high-quality prompt and response examples for LLMs. • Evaluate quality and relevance of text-based AI outputs. • Collaborate with instructors and peers to improve AI responses.

As an ongoing student in the Claude Code Course by Anthropic, I am currently engaged in training AI models through prompt and response writing. The course emphasizes hands-on fine-tuning of language models for better conversational capabilities. It involves generating, critiquing, and improving AI output based on provided prompts. • Apply best practices for supervised fine-tuning (SFT). • Create high-quality prompt and response examples for LLMs. • Evaluate quality and relevance of text-based AI outputs. • Collaborate with instructors and peers to improve AI responses.

2026 - Present

Education

A

Arab University for Graduate Studies

Master of Business Administration, Finance

Master of Business Administration
2004 - 2004
U

University of Jordan

Bachelor of Science, Agronomy

Bachelor of Science
2000 - 2000

Work History

S

Self Employed

Online Freelancer

Amman
2023 - 2024
C

Cairo Amman Bank

Market Risk Officer

Amman
2007 - 2010