Lewis M.

Key Skills

Software

Labelbox

OneForma

Toloka

Telus

Top Subject Matter

Experienced in annotating medical and health-related datasets, including labeling diagnostic images, tagging clinical text, and transcribing patient-related audio data. Strong attention to detail and understanding of the sensitivity and accuracy standards required in healthcare AI applications.

Skilled in labeling financial documents, sentiment tagging of market-related text, and annotating data for fraud detection and risk assessment models. Familiar with the precision and confidentiality expectations that come with financial AI training data projects.

Proficient in image annotation for product catalogues, including bounding box labeling for object detection, category classification, and attribute tagging. Experienced in supporting AI models that power product search, recommendation engines, and visual recognition in retail and e-commerce platforms.

Top Data Types

Image

Video

Text

Top Task Types

Bounding Box

Classification

Segmentation

Question Answering

Text Generation

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Object Detection

Freelancer Overview

I have 1–2 years of hands-on experience in AI training data and data labeling, working across both text and visual modalities. I have contributed to a range of annotation projects on industry-leading platforms including Scale AI and Labelbox, with a strong track record of delivering accurate, high-quality labeled data at scale. My work spans sentiment tagging and text annotation for NLP pipelines, image and video labeling including bounding box annotation, as well as transcription tasks — giving me a well-rounded skill set across the core disciplines of AI data preparation. What sets me apart is my ability to adapt quickly across task types and annotation tools while maintaining a consistent focus on label quality and guideline adherence. I understand that clean, precise training data is foundational to model performance, and I bring that attention to detail to every project I take on — whether tagging nuanced sentiment in text, drawing precise bounding boxes around objects, or producing accurate transcriptions for speech and audio data.

Labeling Experience

Object Detection Image Annotation – Bounding Box Labeling

ImageBounding Box

Performed high-volume bounding box annotation on image datasets intended for object detection model training. Responsibilities included accurately drawing bounding boxes around target objects across diverse image categories, adhering to detailed labeling guidelines, and maintaining consistency across large batches of data. Work was completed using industry-standard platforms (Scale AI / Labelbox), with a strong focus on precision, quality control, and meeting project deadlines. Contributed to improving model performance by delivering clean, well-structured labeled data ready for training pipelines.

2024 - 2026

Education

Work History