Isaac Mamman

Key Skills

Software

Label Studio

Top Subject Matter

Nlp Domain Expertise

General-Domain Content

Computer Vision

Top Data Types

Text

Image

Document

Top Task Types

Classification

Bounding Box

Data Collection

Freelancer Overview

AI Data Annotator & Labeler. Brings 6+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Label Studio, N, and A. Education includes Bachelor of Engineering, Federal University of Technology Minna (2023) and Diploma, AltSchool Africa (2024). AI-training focus includes data types such as Text, Image, and Document and labeling workflows including Classification, Bounding Box, and Data Collection.

Labeling Experience

Data Acquisition & Annotation for Agricultural AI

DocumentData Collection

In publishing a research article, I designed and implemented a structured data acquisition system for agriculture. I collected and labeled datasets on soil parameters to enable model training in agricultural classification. My work helped establish reproducible, domain-specific annotated datasets for AI development. • Developed label taxonomies specific to agricultural needs. • Organized raw data into structured, annotated formats. • Enabled downstream training for classification algorithms. • Provided clear documentation for reproducibility and data reuse.

In publishing a research article, I designed and implemented a structured data acquisition system for agriculture. I collected and labeled datasets on soil parameters to enable model training in agricultural classification. My work helped establish reproducible, domain-specific annotated datasets for AI development. • Developed label taxonomies specific to agricultural needs. • Organized raw data into structured, annotated formats. • Enabled downstream training for classification algorithms. • Provided clear documentation for reproducibility and data reuse.

2023

AI Data Annotator & Labeler

Label StudioImageBounding Box

At SaharaAI, I performed image data annotation including bounding box labeling and segmentation tasks for computer vision projects. My responsibilities included precisely marking object boundaries and verifying annotations for consistency. These annotated images trained machine learning models to accurately detect and classify visual elements. • Used detailed guidelines to ensure label accuracy and completeness. • Conducted segmentation and object detection with high attention to detail. • Participated in quality assurance reviews for peer-produced annotations. • Helped improve model training outcomes through reliable visual data labeling.

At SaharaAI, I performed image data annotation including bounding box labeling and segmentation tasks for computer vision projects. My responsibilities included precisely marking object boundaries and verifying annotations for consistency. These annotated images trained machine learning models to accurately detect and classify visual elements. • Used detailed guidelines to ensure label accuracy and completeness. • Conducted segmentation and object detection with high attention to detail. • Participated in quality assurance reviews for peer-produced annotations. • Helped improve model training outcomes through reliable visual data labeling.

2023

AI Data Annotator & Labeler

Label StudioTextClassification

As an AI Data Annotator & Labeler at SaharaAI, I annotated large volumes of text data to create high-quality training datasets for machine learning and generative AI models. I performed various natural language processing (NLP) labeling tasks such as sentiment classification, intent detection, named entity recognition, and coreference resolution. I also evaluated and ranked AI-generated responses using reinforcement learning from human feedback (RLHF) methods to enhance model behavior. • Maintained strict adherence to annotation guidelines and ensured inter-annotator agreement. • Escalated ambiguous cases and contributed to guideline refinement for improved quality. • Reviewed and validated team annotations to promote consistency and accuracy. • Consistently met quality benchmarks and project turnaround targets.

As an AI Data Annotator & Labeler at SaharaAI, I annotated large volumes of text data to create high-quality training datasets for machine learning and generative AI models. I performed various natural language processing (NLP) labeling tasks such as sentiment classification, intent detection, named entity recognition, and coreference resolution. I also evaluated and ranked AI-generated responses using reinforcement learning from human feedback (RLHF) methods to enhance model behavior. • Maintained strict adherence to annotation guidelines and ensured inter-annotator agreement. • Escalated ambiguous cases and contributed to guideline refinement for improved quality. • Reviewed and validated team annotations to promote consistency and accuracy. • Consistently met quality benchmarks and project turnaround targets.

2023

Education

Work History