Anass Guelida

Key Skills

Software

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Text

Top Task Types

Evaluation Rating

Prompt Response Writing SFT

RLHF

Text Generation

Text Summarization

Freelancer Overview

I am a skilled AI data evaluator with hands-on experience in prompt-based data generation and evaluation for large language models (LLMs). While working on the Cypher RHLF project at Outlier, I specialized in creating prompts, generating model responses, and evaluating their quality based on key dimensions such as instruction following, truthfulness, writing quality, verbosity, localization, and harmlessness. Additionally, I contributed to the Cypher Evals project, where my focus was on evaluating pre-generated responses without creating prompts, ensuring high standards across the same dimensions. My ability to assess complex linguistic outputs with precision and my multilingual expertise in French, English set me apart as a valuable contributor to AI training and evaluation

Labeling Experience

Cypher Evals

Scale AITextEvaluation Rating

In the Cypher Evals project, I specialized in evaluating pre-generated AI responses based on six key criteria: instruction following, truthfulness, writing quality, verbosity, localization, and harmlessness. Unlike Cypher RHLF, my role in this project focused solely on assessing and providing feedback for existing responses rather than creating new prompts. This required a critical eye for detail and linguistic expertise to ensure that the responses met the highest standards in French, English

In the Cypher Evals project, I specialized in evaluating pre-generated AI responses based on six key criteria: instruction following, truthfulness, writing quality, verbosity, localization, and harmlessness. Unlike Cypher RHLF, my role in this project focused solely on assessing and providing feedback for existing responses rather than creating new prompts. This required a critical eye for detail and linguistic expertise to ensure that the responses met the highest standards in French, English

2024

TTS-MOS8

Scale AIAudioEvaluation RatingAudio Recording

I have worked as an evaluator and annotator for Outlier/Remotasks, specializing in rating, evaluation, and audio recording tasks. My responsibilities included: Evaluation & Rating: Assessing AI-generated responses based on criteria such as instruction following, truthfulness, writing quality, verbosity, localization, and harmlessness. Audio Recording & Transcription: Participating in and reviewing audio recording projects, ensuring high-quality data collection for AI training

I have worked as an evaluator and annotator for Outlier/Remotasks, specializing in rating, evaluation, and audio recording tasks. My responsibilities included: Evaluation & Rating: Assessing AI-generated responses based on criteria such as instruction following, truthfulness, writing quality, verbosity, localization, and harmlessness. Audio Recording & Transcription: Participating in and reviewing audio recording projects, ensuring high-quality data collection for AI training

2024 - 2024

Cypher RHLF

Scale AITextText GenerationText Summarization

As part of the Cypher RHLF project at Outlier, I contributed to improving large language models (LLMs) by creating prompts, generating AI responses, and evaluating their quality. Evaluations were performed based on six dimensions: instruction following, truthfulness, writing quality, verbosity, localization, and harmlessness. This work involved analyzing linguistic nuances and ensuring that outputs met high standards of accuracy and relevance in French, English

As part of the Cypher RHLF project at Outlier, I contributed to improving large language models (LLMs) by creating prompts, generating AI responses, and evaluating their quality. Evaluations were performed based on six dimensions: instruction following, truthfulness, writing quality, verbosity, localization, and harmlessness. This work involved analyzing linguistic nuances and ensuring that outputs met high standards of accuracy and relevance in French, English

2024 - 2024

Education

Work History