Peter Malonza

Key Skills

Software

iMerit

CVAT

Labelbox

Telus

OneForma

Top Subject Matter

LLM Evaluation and Text Annotation

Video Annotation for Computer Vision

Image Annotation for Object Detection & Recognition

Top Data Types

Text

Video

Image

Audio

Document

Top Task Types

Action Recognition

Bounding Box

Transcription

Polygon

Segmentation

Classification

Text Generation

Question Answering

Evaluation/Rating

Prompt + Response Writing (SFT)

Object Detection

Freelancer Overview

Detail-oriented Data Annotator and AI Content Reviewer with deep experience in LLM training, data labeling, and multimodal annotation across text, image, video, and audio datasets. Skilled in evaluating AI model outputs for accuracy, clarity, safety, and policy compliance, with a strong ability to detect inconsistencies, bias, and hallucinations. Proven track record of delivering high-quality annotations, performing rigorous content rating and evaluation, and providing clear justifications and corrective feedback to support continuous model improvement. Experienced in computer vision, labeling, transcription, and chatbot evaluation, complemented by strong analytical judgment and adherence to strict quality standards. Recognized for maintaining top-tier accuracy scores, mastering complex guidelines quickly, and contributing to robust, reliable datasets that enhance AI performance at scale.

Labeling Experience

Data Annotator & AI Content Reviewer

ImeritText

In this role, I conducted high-quality text labeling and annotation to support large language model (LLM) training and evaluation. My primary responsibilities included rating and evaluating model outputs for accuracy, clarity, safety, and policy compliance. I identified inconsistencies, logical errors, and hallucinations in AI-generated outputs and provided corrective feedback to improve model performance. • Performed content rating and evaluation of text data for LLMs. • Detected policy violations and ensured alignment with strict guidelines. • Provided detailed explanations and feedback to enhance model accuracy. • Utilized internal/proprietary tools and dashboards for efficient annotation workflows.

In this role, I conducted high-quality text labeling and annotation to support large language model (LLM) training and evaluation. My primary responsibilities included rating and evaluating model outputs for accuracy, clarity, safety, and policy compliance. I identified inconsistencies, logical errors, and hallucinations in AI-generated outputs and provided corrective feedback to improve model performance. • Performed content rating and evaluation of text data for LLMs. • Detected policy violations and ensured alignment with strict guidelines. • Provided detailed explanations and feedback to enhance model accuracy. • Utilized internal/proprietary tools and dashboards for efficient annotation workflows.

2025 - Present

Data Annotator & AI Training Specialist

Text

I evaluated AI-generated chat and text responses to assess which were more natural, accurate, and human-like. I compared model responses, verified compliance with guidelines, and provided scoring and corrective feedback to improve chatbot performance. My tasks maintained high standards of quality and helped ensure reliable chatbot evaluation datasets. • Conducted side-by-side comparison of chatbot responses. • Rated model answers for accuracy, relevance, and policy compliance. • Provided corrective feedback to align outputs with project standards. • Used proprietary and internal platforms for evaluation tasks.

I evaluated AI-generated chat and text responses to assess which were more natural, accurate, and human-like. I compared model responses, verified compliance with guidelines, and provided scoring and corrective feedback to improve chatbot performance. My tasks maintained high standards of quality and helped ensure reliable chatbot evaluation datasets. • Conducted side-by-side comparison of chatbot responses. • Rated model answers for accuracy, relevance, and policy compliance. • Provided corrective feedback to align outputs with project standards. • Used proprietary and internal platforms for evaluation tasks.

2024 - 2025

Data Annotator & AI Training Specialist

AudioTranscription

I transcribed and tagged speech, background noise, and sounds in audio files to support AI audio models and face recognition. My duties involved accurate transcription, annotation of audio features, and validation for consistency. I regularly performed checks for audio-video sync and timing errors in multimedia files. • Transcribed and annotated audio datasets for model training. • Tagged speech and background sounds for various projects. • Conducted consistency and quality assurance checks. • Employed internal and proprietary audio labeling solutions.

I transcribed and tagged speech, background noise, and sounds in audio files to support AI audio models and face recognition. My duties involved accurate transcription, annotation of audio features, and validation for consistency. I regularly performed checks for audio-video sync and timing errors in multimedia files. • Transcribed and annotated audio datasets for model training. • Tagged speech and background sounds for various projects. • Conducted consistency and quality assurance checks. • Employed internal and proprietary audio labeling solutions.

2024 - 2025

Data Annotator & AI Training Specialist

ImageBounding Box

I drew bounding boxes and keypoints on image datasets to identify objects, faces, and scenes for AI model training. My role required precise application of labeling guidelines and regular quality checks. I leveraged annotation platforms to manage and maintain accurate labels across large-scale image datasets. • Labeled images for object detection and facial recognition. • Applied bounding boxes and keypoints accurately on images. • Participated in routine quality assurance processes. • Utilized RWS image annotation tools to streamline workflows.

I drew bounding boxes and keypoints on image datasets to identify objects, faces, and scenes for AI model training. My role required precise application of labeling guidelines and regular quality checks. I leveraged annotation platforms to manage and maintain accurate labels across large-scale image datasets. • Labeled images for object detection and facial recognition. • Applied bounding boxes and keypoints accurately on images. • Participated in routine quality assurance processes. • Utilized RWS image annotation tools to streamline workflows.

2024 - 2025

Data Annotator & AI Training Specialist

VideoAction Recognition

I performed video annotation, labeling objects, actions, and movements in video frames to support computer vision AI training. Responsibilities included identifying relevant visual events, tagging frames for accuracy, and conducting consistency checks for quality assurance. I used internal and proprietary tools to ensure annotations met project specifications. • Labeled video frames for action and object recognition. • Conducted quality assurance to ensure accurate labeling. • Performed lip-sync and multimedia alignment review. • Used iMerit and RWS tools for annotation management.

I performed video annotation, labeling objects, actions, and movements in video frames to support computer vision AI training. Responsibilities included identifying relevant visual events, tagging frames for accuracy, and conducting consistency checks for quality assurance. I used internal and proprietary tools to ensure annotations met project specifications. • Labeled video frames for action and object recognition. • Conducted quality assurance to ensure accurate labeling. • Performed lip-sync and multimedia alignment review. • Used iMerit and RWS tools for annotation management.

2024 - 2025

Education

Work History