Abraham K.

Key Skills

Software

Labelbox

Prodigy

CVAT

Other

Top Subject Matter

Supervised learning training data (text)

Computer vision supervised learning training data (images)

Structured data labeling for supervised ML

Top Data Types

Text

Image

Top Task Types

Classification

Data Collection

Freelancer Overview

AI Training Assistant (Dataset preparation, cleaning, annotation, QA). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Prodigy, and CVAT. Education includes Certificate, Alison Online (2019). AI-training focus includes data types such as Text, Image, and Computer Code and labeling workflows including Entity (NER), Classification, and Data Collection.

Labeling Experience

AI Training Assistant (Structured data labeling for ML)

OtherData Collection

Supported supervised learning tasks by preparing and labeling structured data for training. Performed quality assurance to ensure the correctness and relevance of structured labels. Assisted AI engineers with feedback loops to refine model outputs using improved labeled data. • Prepared structured datasets for model ingestion • Performed QA to validate structured labels • Improved consistency by following labeling guidelines • Assisted engineers with iterative performance improvements

2020 - Present

AI Training Assistant (Image labeling and quality assurance)

LabelboxImageClassification

Assisted in labeling image data to support supervised learning model training. Conducted quality checks on training data to maintain label accuracy and usability. Worked with AI engineers to improve model performance based on labeled dataset outcomes. • Labeled images for supervised learning tasks • Verified label quality through checks • Supported iterative refinement with engineers • Followed consistent labeling guidelines

2020 - Present

AI Training Assistant (Dataset preparation, cleaning, annotation, QA)

LabelboxText

Prepared, cleaned, and annotated datasets for supervised machine learning workflows. Conducted quality checks to ensure labeling accuracy and relevance to model training. Assisted with labeling text alongside guidance from AI engineers and documentation standards. • Labeled text samples for supervised learning • Performed data cleaning prior to annotation • Ran QA checks to verify consistency • Collaborated with AI engineers to refine outputs

2020 - Present

Education

Work History