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Kylie M.

Kylie M.

AI Trainer (expanded into AI training and data annotation work)

New Zealand flagAuckland, New Zealand

Key Skills

Software

Data Annotation TechData Annotation Tech

Top Subject Matter

AI training and data annotation

Top Data Types

TextText
ImageImage
VideoVideo

Top Task Types

Text GenerationText Generation
Fine-tuningFine-tuning
Data CollectionData Collection
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
ClassificationClassification
Object DetectionObject Detection
Question AnsweringQuestion Answering
Text SummarizationText Summarization

Freelancer Overview

I have experience working on AI training and data labeling tasks involving qualitative analysis, structured evaluation, prompt refinement, and large-scale content review across multiple formats. My work has included analysing model outputs for accuracy, reasoning quality, instruction-following, tone consistency, and policy compliance, as well as creating and refining prompts designed to improve model performance on complex analytical tasks. I’m comfortable working with unstructured datasets including text, screenshots, PDFs, spreadsheets, and conversational data, and I pay close attention to detail, consistency, and edge cases. What sets me apart is my ability to combine analytical thinking with strong written communication and nuanced judgment. I’m particularly skilled at identifying patterns in language, evaluating subjective or context-sensitive outputs, and producing structured, high-quality work under detailed guidelines. I also have experience with politically and socially sensitive content analysis, comparative reasoning tasks, and long-form synthesis projects that require balancing accuracy, clarity, and scalability.

Labeling Experience

AI Trainer (expanded into AI training and data annotation work)

TextText

Provided structured analysis and written evaluation to support AI training and data annotation workflows. Reviewed training inputs and produced strategic reasoning that informed how models should improve. Used consistent criteria to assess outputs and guide refinements for advanced AI systems. • Interpreted annotation guidelines to generate useful training signals • Wrote evaluation notes and reasoning to support model iteration • Assisted with refining training data quality for downstream performance • Supported development of advanced AI systems through feedback

2026 - Present

Education

U

University of Auckland

Bachelor of Global Studies, International Politics

Bachelor of Global Studies
2020 - 2023
U

University of Auckland

Bachelor of Commerce, Finance

Bachelor of Commerce
2020 - 2023

Work History

F

Forsyth Barr

Strategy Analyst

N/A
2026 - Present
F

Forsyth Barr

Graduate Analyst - Institutional Sales and Trading

N/A
2025 - 2025