Ayman Nait Sidi Moh

Key Skills

Software

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Top Task Types

Audio Recording

Data Collection

Evaluation Rating

Text Generation

Freelancer Overview

I am a native French speaker, which gives me an added advantage for projects requiring linguistic accuracy and cultural nuance, particularly in French-language data. I also have prior experience working as a response evaluator, where I assessed the relevance and quality of AI-generated outputs. This role sharpened my analytical thinking and gave me deeper insight into AI behavior and performance evaluation. Combined with my hands-on experience in data labeling and AI training data, I bring a well-rounded profile. I’ve worked on projects involving text, image, and audio annotation, using various tools while adhering to strict guidelines and quality standards. My language skills, attention to detail, and familiarity with AI evaluation processes make me a valuable asset to teams focused on developing reliable and accurate AI systems.

Labeling Experience

Comparative Evaluation of AI-Generated Responses to Prompts

Scale AITextText GenerationEvaluation Rating

Contributed to a reinforcement learning from human feedback (RLHF) project aimed at improving conversational AI. The task involved evaluating two different responses generated by an AI model for the same prompt, and ranking or scoring them based on relevance, coherence, helpfulness, and tone. Applied detailed evaluation guidelines to ensure unbiased and consistent judgment. Also provided written feedback or justification in certain cases to help guide model refinement. The project played a key role in training models to better align with human expectations in various conversational contexts, particularly in French.

Contributed to a reinforcement learning from human feedback (RLHF) project aimed at improving conversational AI. The task involved evaluating two different responses generated by an AI model for the same prompt, and ranking or scoring them based on relevance, coherence, helpfulness, and tone. Applied detailed evaluation guidelines to ensure unbiased and consistent judgment. Also provided written feedback or justification in certain cases to help guide model refinement. The project played a key role in training models to better align with human expectations in various conversational contexts, particularly in French.

2024 - 2024

French Language Data Annotation and Response Evaluation for NLP Model Training

Scale AITextEvaluation Rating

Participated in a large-scale NLP project focused on improving French language performance in AI models. Responsibilities included annotating and classifying text data, evaluating AI-generated responses, labeling emotional tone, and verifying named entity recognition (NER). Additionally, contributed to supervised fine-tuning tasks through prompt and response writing. Worked within strict quality assurance frameworks to ensure high annotation accuracy and consistency. Tasks were reviewed regularly by quality leads and met or exceeded accuracy benchmarks above 95%. This project supported the development and localization of multilingual LLMs.

Participated in a large-scale NLP project focused on improving French language performance in AI models. Responsibilities included annotating and classifying text data, evaluating AI-generated responses, labeling emotional tone, and verifying named entity recognition (NER). Additionally, contributed to supervised fine-tuning tasks through prompt and response writing. Worked within strict quality assurance frameworks to ensure high annotation accuracy and consistency. Tasks were reviewed regularly by quality leads and met or exceeded accuracy benchmarks above 95%. This project supported the development and localization of multilingual LLMs.

2023 - 2023

Education

Work History