Philippe Rajaobelina

Key Skills

Software

OneForma

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Bounding Box

Classification

Evaluation Rating

Relationship

Segmentation

Freelancer Overview

Expert in audio labeling (segmentation, diarization) and image annotation (classification, curation). Detail-oriented and rigorous, I ensure high-quality datasets for performant AI models. My dual technical and customer support background enhances precision and strict adherence to guidelines. Passionate about technology, I commit to innovative projects with reliability and rigor.

Labeling Experience

lyra dyarisation

OneformaAudioSegmentationClassification

Precise annotation and analysis of audio files to train a speech recognition model. My responsibilities included: Accurate listening, segmentation, and labeling of audio recordings. Identifying and tagging different speakers (diarization). Transcribing and categorizing linguistic content. Strictly applying guidelines to ensure data consistency and accuracy. Quality control to ensure the dataset complied with client specifications

Precise annotation and analysis of audio files to train a speech recognition model. My responsibilities included: Accurate listening, segmentation, and labeling of audio recordings. Identifying and tagging different speakers (diarization). Transcribing and categorizing linguistic content. Strictly applying guidelines to ensure data consistency and accuracy. Quality control to ensure the dataset complied with client specifications

2023 - 2024

IMAGE ANNOTATION

Scale AIImageBounding BoxSegmentation

Annotation of event-specific objects in images, following a rigorous validation and labeling process. My tasks included: Image validation: Verifying eligibility based on strict criteria (detected language, image quality, relevance to the event). Precise delineation: Framing objects to be annotated using bounding boxes. Structured labeling: Assigning detailed labels for each relevant piece of information in dedicated labeling zones. Guideline adherence: Methodical application of annotation rules to ensure dataset consistency and quality.

Annotation of event-specific objects in images, following a rigorous validation and labeling process. My tasks included: Image validation: Verifying eligibility based on strict criteria (detected language, image quality, relevance to the event). Precise delineation: Framing objects to be annotated using bounding boxes. Structured labeling: Assigning detailed labels for each relevant piece of information in dedicated labeling zones. Guideline adherence: Methodical application of annotation rules to ensure dataset consistency and quality.

2021 - 2022

Education

Work History