Jamal Boumsik

Key Skills

Software

Clickworker

CVAT

Labelbox

Remotasks

Scale AI

Toloka

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Audio Recording

Classification

Evaluation Rating

Prompt Response Writing SFT

RLHF

Freelancer Overview

I am a skilled AI Trainer and Data Labeling specialist with extensive experience in evaluating large language model (LLM) outputs through Reinforcement Learning from Human Feedback (RLHF). I excel at assessing, ranking, and refining AI-generated responses based on multiple qualitative criteria to improve model accuracy and reliability. My work includes detailed prompt evaluation, correction, and providing high-quality feedback to optimize AI behavior. In addition to NLP and LLM tasks, I have hands-on expertise in audio data annotation and transcription, enabling AI systems to better understand and process spoken language. My strong technical aptitude and attention to detail allow me to contribute effectively across multimodal AI training projects involving text, audio, and prompt engineering. I am proficient with various data labeling tools and maintain a commitment to accuracy, efficiency, and continuous learning in the rapidly evolving AI landscape.

Labeling Experience

LLM Response Evaluation and Prompt Annotation for RLHF

Scale AITextClassificationRLHF

Participated in Reinforcement Learning from Human Feedback (RLHF) projects by evaluating and ranking AI-generated responses based on multiple quality criteria such as relevance, coherence, and accuracy. Provided corrective feedback and annotations to improve model outputs. Tasks included prompt refinement, response rating, and fine-tuning support. Worked with large datasets in a high-accuracy environment adhering to strict quality guidelines.

Participated in Reinforcement Learning from Human Feedback (RLHF) projects by evaluating and ranking AI-generated responses based on multiple quality criteria such as relevance, coherence, and accuracy. Provided corrective feedback and annotations to improve model outputs. Tasks included prompt refinement, response rating, and fine-tuning support. Worked with large datasets in a high-accuracy environment adhering to strict quality guidelines.

2024 - 2024

Education

Work History