Nondzameko Mhlekwa

Key Skills

Software

Appen

Scale AI

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Label Types

Audio Recording

Bounding Box

Classification

Data Collection

Evaluation Rating

Mapping

Object Detection

Prompt Response Writing SFT

RLHF

Text Generation

Transcription

Freelancer Overview

I have hands-on experience working on data labeling and AI training projects through platforms such as Outlier and TELUS International. In these roles, I worked on tasks that required carefully reviewing, labeling, and evaluating data according to detailed guidelines to help improve AI models. This included assessing accuracy, relevance, and quality while maintaining consistency and attention to detail. Through this work, I developed strong skills in following complex instructions, critical thinking, and providing clear, structured feedback. I am comfortable working with large volumes of data, meeting quality standards, and managing tasks independently in a remote environment. My experience with AI training data has strengthened my ability to work accurately, adapt quickly to new project requirements, and contribute reliably to improving machine learning systems.

Labeling Experience

AI Text Evaluation & Data Labeling Project

TelusTextBounding BoxClassification

Worked on AI training and data labeling projects focused on evaluating, rating, and classifying text data used to train large language models. Tasks included reviewing AI-generated responses, assessing accuracy, relevance, tone, and guideline compliance, and providing structured feedback to improve model performance. The work required strict adherence to detailed instructions, consistency across large task volumes, and high-quality standards. Quality measures included self-review, consistency checks, and compliance with project-specific scoring rubrics.

Worked on AI training and data labeling projects focused on evaluating, rating, and classifying text data used to train large language models. Tasks included reviewing AI-generated responses, assessing accuracy, relevance, tone, and guideline compliance, and providing structured feedback to improve model performance. The work required strict adherence to detailed instructions, consistency across large task volumes, and high-quality standards. Quality measures included self-review, consistency checks, and compliance with project-specific scoring rubrics.

2023 - 2025

AI Model Evaluation & RLHF Data Annotation (Outlier)

Scale AITextClassificationText Generation

Contributed to AI training and evaluation projects focused on improving large language models through RLHF and structured evaluation. Responsibilities included reviewing and rating AI-generated responses, identifying inaccuracies, bias, or hallucinations, and providing clear justifications for scoring decisions. Also performed prompt-and-response writing tasks to generate high-quality training data aligned with project guidelines. Work required strong analytical skills, consistency across large task volumes, and strict adherence to quality and safety standards.

Contributed to AI training and evaluation projects focused on improving large language models through RLHF and structured evaluation. Responsibilities included reviewing and rating AI-generated responses, identifying inaccuracies, bias, or hallucinations, and providing clear justifications for scoring decisions. Also performed prompt-and-response writing tasks to generate high-quality training data aligned with project guidelines. Work required strong analytical skills, consistency across large task volumes, and strict adherence to quality and safety standards.

2023 - 2024

Education

Work History