Anas Sabbane

Key Skills

Software

Appen

Data Annotation Tech

Labelbox

Label Studio

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Medical Dicom

Text

Video

Top Task Types

Action Recognition

Audio Recording

Diagnosis

Prompt Response Writing SFT

RLHF

Freelancer Overview

I have one year of hands on experience in data annotation and outlier, specifically within Reinforcement Learning from Human Feedback (RLHF) projects in the French audio and medical domains. My work involved labeling and curating complex datasets to improve AI model performance, ensuring high-quality and contextually accurate outputs. I am adept at identifying anomalies and inconsistencies in both textual and audio data, contributing to the development of reliable machine learning systems. My background in the French language and familiarity with medical terminology have been key assets in delivering precise annotations. I am also experienced in following detailed guidelines, collaborating with cross-functional teams, and maintaining consistency across large-scale datasets. This combination of linguistic, analytical, and domain-specific skills enables me to contribute effectively to AI training pipelines.

Labeling Experience

Pangolin Vision Safety

Scale AIImageText GenerationFine Tuning

Pangolin Vision Safety project, which focused on assessing the safety and reliability of AI-generated responses in French with harmful prompts and images. My role involved identifying and flagging harmful, biased, or inappropriate outputs, ensuring the AI aligned with ethical and safety guidelines. This work was essential in training models to produce responsible, user-safe interactions across various scenarios.

Pangolin Vision Safety project, which focused on assessing the safety and reliability of AI-generated responses in French with harmful prompts and images. My role involved identifying and flagging harmful, biased, or inappropriate outputs, ensuring the AI aligned with ethical and safety guidelines. This work was essential in training models to produce responsible, user-safe interactions across various scenarios.

2024

Xylophone GrassLand

Scale AIAudioAudio Recording

I worked on the Xylophone Grassland project, specializing in French audio generation and transcription. My responsibilities included reviewing AI-generated transcription for audios for clarity, pronunciation accuracy, and naturalness, as well as transcribing spoken content with high precision. This work contributed to improving speech synthesis and recognition systems by ensuring high-quality, linguistically accurate audio data.

I worked on the Xylophone Grassland project, specializing in French audio generation and transcription. My responsibilities included reviewing AI-generated transcription for audios for clarity, pronunciation accuracy, and naturalness, as well as transcribing spoken content with high precision. This work contributed to improving speech synthesis and recognition systems by ensuring high-quality, linguistically accurate audio data.

2024 - 2024

Cypher EVALS

Scale AITextFine TuningEvaluation Rating

Cypher Evals project, focusing on evaluating AI-generated responses in French for quality, coherence, and alignment with human expectations from Cypher RLHF. My responsibilities included ranking and providing feedback on model outputs to support Reinforcement Learning from Human Feedback (RLHF). This work helped fine-tune language models by ensuring they produce more accurate, context-aware, and user-aligned responses.

Cypher Evals project, focusing on evaluating AI-generated responses in French for quality, coherence, and alignment with human expectations from Cypher RLHF. My responsibilities included ranking and providing feedback on model outputs to support Reinforcement Learning from Human Feedback (RLHF). This work helped fine-tune language models by ensuring they produce more accurate, context-aware, and user-aligned responses.

2024 - 2024

MailValley

Scale AITextRLHF

Focus on the Mailvalley, medical part. My role involved accurately labeling medical data, identifying inconsistencies, and ensuring high-quality inputs for AI model training. I worked closely with sensitive clinical information, applying domain knowledge and attention to detail to support reliable AI development in the healthcare field.

Focus on the Mailvalley, medical part. My role involved accurately labeling medical data, identifying inconsistencies, and ensuring high-quality inputs for AI model training. I worked closely with sensitive clinical information, applying domain knowledge and attention to detail to support reliable AI development in the healthcare field.

2024 - 2024

Cypher RLHF

Scale AITextRLHFEvaluation Rating

Cypher RLHF is a specialized project focused on enhancing artificial intelligence through Reinforcement Learning from Human Feedback (RLHF), primarily involving French-language datasets. The project involves tasks such as data annotation, quality assessment, to fine-tune AI models for better natural language understanding and generation. Cypher RLHF emphasizes human-in-the-loop training methods, where annotators guide model behavior by ranking, labeling, or correcting AI-generated outputs to align them with human preferences and context.

Cypher RLHF is a specialized project focused on enhancing artificial intelligence through Reinforcement Learning from Human Feedback (RLHF), primarily involving French-language datasets. The project involves tasks such as data annotation, quality assessment, to fine-tune AI models for better natural language understanding and generation. Cypher RLHF emphasizes human-in-the-loop training methods, where annotators guide model behavior by ranking, labeling, or correcting AI-generated outputs to align them with human preferences and context.

2024 - 2024

Education

Work History