Ann J.

Key Skills

Software

Labelbox

CVAT

Other

Top Subject Matter

Computer vision for retail

Traffic Domain Expertise

and security image datasets

Top Data Types

Image

Text

Top Task Types

Bounding Box

Entity (NER) Classification

Freelancer Overview

AI Data Trainer (Independent Contractor, Remote) — Image labeling and object detection QA. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, CVAT, and Other. Education includes Bachelor of Business Administration, Algoma University (2019). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, Entity (NER) Classification, and Evaluation.

Labeling Experience

AI Data Trainer (Independent Contractor, Remote) — Model validation via evaluation and feedback

OtherText

Reviewed AI-generated outputs and provided evaluation ratings to support dataset and model validation efforts. Assessed response quality by checking clarity, correctness, and usability against expected task criteria. Documented findings to enable iterative improvements to labeling guidelines and model behavior. • Rated AI responses to improve accuracy and practical usefulness. • Conducted batch-level reviews to surface common failure modes. • Provided actionable feedback regarding structural shortcomings. • Supported ongoing QA loops in high-volume remote workflows.

2023 - Present

AI Data Trainer (Independent Contractor, Remote) — Text annotation and AI response evaluation

OtherTextEntity (NER) Classification

Labeled and categorized text datasets to support structured language understanding tasks including named entity recognition and sentiment classification. Evaluated large language model text outputs for clarity, accuracy, and utility on a weekly production cadence. Provided feedback on structural flaws to improve human and AI interaction quality. • Labeled text for NER and sentiment categories while meeting tight production deadlines. • Evaluated 200+ AI text outputs weekly and rated performance. • Highlighted structural and formatting issues impacting response usefulness. • Ensured labeled text quality for downstream model training and validation.

2023 - Present

AI Data Trainer (Independent Contractor, Remote) — Image labeling and object detection QA

LabelboxImageBounding Box

Performed high-volume image data labeling and annotation to support training of machine learning and large language models. Applied precise object labels along with bounding boxes and segmentation mask metadata across multi-modal batches. Reviewed computer vision outputs to identify misclassifications, false positives, and boundary errors for QA and model improvement. • Labeled complex images using Labelbox and CVAT with bounding boxes and segmentation masks. • Rated object detection quality by checking batch outputs containing 500+ images per project cycle. • Maintained high accuracy (average 98.5%) to ensure dataset suitability for training. • Handled edge cases by flagging classification and boundary issues discovered during reviews.

2023 - Present

Education

Work History