Ivene Musula

Key Skills

Software

Sama

CloudFactory

Top Subject Matter

Llm Domain Expertise

Nlp Domain Expertise

Agentic AI

Top Data Types

Image

Video

Top Label Types

Object Detection

Bounding Box

Freelancer Overview

Data Analysis Associate. Core strengths include Sama, CloudFactory, and N. Education includes Certificate, Ministry of Labour - AJIRA Digital Program (2024) and Certificate, Samasource - Sama School (2021). AI-training focus includes data types such as Image, Video, and N and labeling workflows including Object Detection, Bounding Box, and N.

Labeling Experience

Data Analysis Associate

SamaImageObject Detection

Led data annotation projects for image, video, and text data across various AI domains. Specialized in preparing high-quality datasets for Large Language Models, NLP, Agentic AI, and CNN projects. Ensured multilingual accuracy via transcription and translation in Swahili, English, and Luhya. • Labeled objects, segments, and decision patterns in images, videos, and texts • Annotated prompt-response pairs, sentiment, and language understanding data • Transcribed and translated multilingual data for diverse datasets • Applied quality assurance protocols to maintain excellent data integrity

Led data annotation projects for image, video, and text data across various AI domains. Specialized in preparing high-quality datasets for Large Language Models, NLP, Agentic AI, and CNN projects. Ensured multilingual accuracy via transcription and translation in Swahili, English, and Luhya. • Labeled objects, segments, and decision patterns in images, videos, and texts • Annotated prompt-response pairs, sentiment, and language understanding data • Transcribed and translated multilingual data for diverse datasets • Applied quality assurance protocols to maintain excellent data integrity

2022 - 2025

Advanced Digital Skills Trainee

Participated in an advanced digital skills training program focused on artificial intelligence and data annotation. Developed practical experience in 2D and 3D LiDAR annotation techniques. Acquired hands-on skills relevant to modern AI workflows. • Trained in data entry for AI applications • Practiced data labeling using industry standards • Enhanced understanding of machine learning pipelines • Gained technical familiarity with annotation tools

Participated in an advanced digital skills training program focused on artificial intelligence and data annotation. Developed practical experience in 2D and 3D LiDAR annotation techniques. Acquired hands-on skills relevant to modern AI workflows. • Trained in data entry for AI applications • Practiced data labeling using industry standards • Enhanced understanding of machine learning pipelines • Gained technical familiarity with annotation tools

2024 - 2024

AI101 Training Graduate

Sama

Completed comprehensive training in AI fundamentals with a focus on data annotation processes. Learned best practices for machine learning data preparation and annotation. Developed skills in managing, labeling, and handling different types of data for AI. • Underwent structured instruction in annotation methodologies • Gained understanding of annotation tools and procedures • Practiced quality control for ML data sets • Enhanced proficiency in dataset management

Completed comprehensive training in AI fundamentals with a focus on data annotation processes. Learned best practices for machine learning data preparation and annotation. Developed skills in managing, labeling, and handling different types of data for AI. • Underwent structured instruction in annotation methodologies • Gained understanding of annotation tools and procedures • Practiced quality control for ML data sets • Enhanced proficiency in dataset management

2021 - 2021

Data Annotator

CloudfactoryVideoBounding Box

Specialized in video annotation and 3D spatial data labeling for autonomous vehicle and computer vision use cases. Applied bounding box, polygon, and segmentation annotations for machine learning training. Conducted quality checks on complex datasets to uphold production standards. • Labeled object tracking, activity recognition, and temporal sequences • Processed and verified 2D and 3D LiDAR data for spatial modeling • Enhanced annotation guidelines and streamlined workflow procedures • Performed rigorous data validation to meet quality benchmarks

Specialized in video annotation and 3D spatial data labeling for autonomous vehicle and computer vision use cases. Applied bounding box, polygon, and segmentation annotations for machine learning training. Conducted quality checks on complex datasets to uphold production standards. • Labeled object tracking, activity recognition, and temporal sequences • Processed and verified 2D and 3D LiDAR data for spatial modeling • Enhanced annotation guidelines and streamlined workflow procedures • Performed rigorous data validation to meet quality benchmarks

2021 - 2021

Education

Work History