Key Skills

Software

Axiom AI

Clickworker

Data Annotation Tech

Dataloop

Datatroniq

Datasaur

Datature

Deep Systems

Img Lab

Labelbox

Label Studio

OneForma

Scale AI

SuperAnnotate

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Top Task Types

Audio Recording

Classification

Data Collection

Evaluation Rating

Translation Localization

Freelancer Overview

Freelance specialist in data annotation, dataset curation, and AI model evaluation with 4+ years of international experience (TELUS International, OneForma, Appen). Proven track record in RLHF, LLM output evaluation, and multimodal data labeling (text, audio, image, video). Proficient in using annotation platforms such as Label Studio, Prodi.gy, and Amazon SageMaker Ground Truth. Dedicated to delivering high-quality, guideline-compliant data for AI training. Currently seeking to contribute to OpenTrain AI projects focused on annotation, dataset curation, and AI model evaluation.

Labeling Experience

Benjamin_Lyra

OneformaAudioEvaluation RatingData Collection

The Benjamin_Lyra project was focused on audio transcription and classification to improve the performance of speech recognition and diarization models. My tasks included transcribing audio files with high accuracy, segmenting and classifying speakers, and reviewing transcripts to correct errors and inconsistencies.

The Benjamin_Lyra project was focused on audio transcription and classification to improve the performance of speech recognition and diarization models. My tasks included transcribing audio files with high accuracy, segmenting and classifying speakers, and reviewing transcripts to correct errors and inconsistencies.

2024 - 2025

Centific Amber

OneformaImageBounding BoxClassification

The project focused on large-scale image annotation and classification to enhance computer vision model performance. My main tasks included classifying images into predefined categories, verifying the accuracy of existing annotations, and correcting any labeling errors. I worked with thousands of images, ensuring that each one met strict quality and consistency standards. To maintain high data quality, I carefully followed detailed project guidelines, performed cross-checks to validate labels, and flagged any ambiguous or low-quality data for review. This process helped improve the training dataset’s reliability and directly contributed to enhancing the AI model’s accuracy and overall performance in image recognition tasks.

The project focused on large-scale image annotation and classification to enhance computer vision model performance. My main tasks included classifying images into predefined categories, verifying the accuracy of existing annotations, and correcting any labeling errors. I worked with thousands of images, ensuring that each one met strict quality and consistency standards. To maintain high data quality, I carefully followed detailed project guidelines, performed cross-checks to validate labels, and flagged any ambiguous or low-quality data for review. This process helped improve the training dataset’s reliability and directly contributed to enhancing the AI model’s accuracy and overall performance in image recognition tasks.

2024 - 2025

Education

Work History