Idrissa Salum

Key Skills

Software

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Text Generation

Emotion Recognition

Translation Localization

Land Cover Classification

Evaluation Rating

Freelancer Overview

I am a detail-oriented AI Data Specialist with hands-on experience in data annotation, labeling, and training data preparation for NLP and machine learning projects. My background includes text, audio, and image labeling, as well as dataset classification and quality assurance to enhance model performance. I am skilled in Python, SQL, Excel, and various annotation platforms, and have successfully managed both structured and unstructured data to support AI development. My strengths lie in following complex guidelines, maintaining high accuracy, and collaborating remotely to deliver consistent, high-quality results. I am passionate about scalable AI systems, quality assurance, and leveraging data operations to drive impactful insights.

Labeling Experience

Multimodal Data Annotation for AI Model Training

Label StudioTextText GenerationEmotion Recognition

Contributed to multiple AI training and data annotation projects involving text, image, and audio datasets for machine learning model development. Performed Named Entity Recognition (NER), intent classification, and sentiment tagging for NLP model training. Labeled images using bounding boxes and object detection techniques to support computer vision systems. Conducted audio transcription and speech evaluation tasks following strict pronunciation and clarity guidelines. Reviewed AI-generated responses for accuracy, coherence, bias, and policy compliance (RLHF-style evaluation). Maintained high annotation accuracy while meeting productivity and turnaround targets. Flagged ambiguous edge cases and followed detailed annotation guidelines to ensure consistency across datasets.

Contributed to multiple AI training and data annotation projects involving text, image, and audio datasets for machine learning model development. Performed Named Entity Recognition (NER), intent classification, and sentiment tagging for NLP model training. Labeled images using bounding boxes and object detection techniques to support computer vision systems. Conducted audio transcription and speech evaluation tasks following strict pronunciation and clarity guidelines. Reviewed AI-generated responses for accuracy, coherence, bias, and policy compliance (RLHF-style evaluation). Maintained high annotation accuracy while meeting productivity and turnaround targets. Flagged ambiguous edge cases and followed detailed annotation guidelines to ensure consistency across datasets.

2024

Education

Work History