Hennyagatsiva

Key Skills

Software

Labelbox

Top Subject Matter

AI model training and evaluation

AI code generation and evaluation

Top Data Types

Text

Top Task Types

Entity (NER) Classification

Freelancer Overview

Data Annotation & AI Training Specialist. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Internal, and Proprietary Tooling. Education includes Doctor of Philosophy, Australian National University (2025) and Master of Software Engineering, University of Melbourne (2021). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Entity (NER) Classification, Evaluation, and Rating.

Labeling Experience

Python Backend Developer (AI Model Reviewer)

In this role, I evaluated and improved generative AI code outputs with structured technical feedback. I assessed AI-generated code for correctness, efficiency, and compliance with coding standards. I created and refined coding challenges and prompts to support AI model development. • Conducted robust evaluations of code-based AI model outputs. • Delivered technical feedback to optimize AI behavior. • Collaborated on prompt creation for coding AI tasks. • Improved the reliability of generative AI code models.

In this role, I evaluated and improved generative AI code outputs with structured technical feedback. I assessed AI-generated code for correctness, efficiency, and compliance with coding standards. I created and refined coding challenges and prompts to support AI model development. • Conducted robust evaluations of code-based AI model outputs. • Delivered technical feedback to optimize AI behavior. • Collaborated on prompt creation for coding AI tasks. • Improved the reliability of generative AI code models.

2025 - Present

Data Annotation & AI Training Specialist

LabelboxTextEntity Ner Classification

I annotated and labeled large-scale datasets consisting of text, code, and conversational AI data for model training. My work involved performing tasks such as Named Entity Recognition, text classification, and sentiment labeling. I reviewed annotated datasets for quality and provided feedback to enhance the accuracy and consistency of those datasets. • Developed and followed advanced annotation guidelines for multiple projects. • Conducted quality assurance (QA) checks and improved overall dataset reliability. • Participated in RLHF pipelines by ranking and evaluating model outputs. • Collaborated with teams to refine annotation processes and workflows.

I annotated and labeled large-scale datasets consisting of text, code, and conversational AI data for model training. My work involved performing tasks such as Named Entity Recognition, text classification, and sentiment labeling. I reviewed annotated datasets for quality and provided feedback to enhance the accuracy and consistency of those datasets. • Developed and followed advanced annotation guidelines for multiple projects. • Conducted quality assurance (QA) checks and improved overall dataset reliability. • Participated in RLHF pipelines by ranking and evaluating model outputs. • Collaborated with teams to refine annotation processes and workflows.

2025 - 2026

Education

Work History