Innocentia Matshoba

Key Skills

Software

Other

OneForma

Appen

Telus

Top Subject Matter

Natural Language Processing

Linguistic Analysis

Content Moderation

Top Data Types

Text

Audio

Document

Top Task Types

Classification

Segmentation

Transcription

Bounding Box

Freelancer Overview

I have hands-on experience in AI training data through my roles as an AI Specialist with RWS and a Voice Assistance Interaction Segmentation & Transcription Specialist with OneForma. My work has focused on high-volume data annotation, labeling, and evaluation to support machine learning models, particularly in natural language processing (NLP) and voice assistant technologies. I have performed tasks such as transcription (Pre-ITN and Post-ITN), voice segmentation, and content moderation, ensuring linguistic accuracy, contextual relevance, and strict adherence to project guidelines. What sets me apart is my strong attention to detail, ability to maintain high accuracy under tight deadlines, and commitment to quality assurance. I am experienced in validating and reviewing annotated data to improve model performance, and I bring a structured, compliance-driven mindset from my legal and collections background. This combination allows me to deliver precise, reliable training data while consistently meeting productivity and quality targets in remote, fast-paced environments.

Labeling Experience

Voice Assistance Interaction Segmentation Specialist – OneForma | Remote

OneformaAudioSegmentation

In my role as a Voice Assistance Interaction Segmentation Specialist at OneForma, I segment, transcribe, and label voice assistant interaction data for AI systems. My responsibilities include applying natural language post-processing and reviewing annotated datasets for consistency. I adhere to strict quality guidelines to optimize speech recognition and NLP model performance. • Perform segmentation and labeling of audio data from voice assistant interactions. • Transcribe speech and apply Post-ITN formatting to ensure data accuracy. • Validate and review annotations for quality and compliance. • Collaborate in remote AI production workflows with strict deadlines.

In my role as a Voice Assistance Interaction Segmentation Specialist at OneForma, I segment, transcribe, and label voice assistant interaction data for AI systems. My responsibilities include applying natural language post-processing and reviewing annotated datasets for consistency. I adhere to strict quality guidelines to optimize speech recognition and NLP model performance. • Perform segmentation and labeling of audio data from voice assistant interactions. • Transcribe speech and apply Post-ITN formatting to ensure data accuracy. • Validate and review annotations for quality and compliance. • Collaborate in remote AI production workflows with strict deadlines.

2026 - Present

AI Specialist (Freelance Contractor) – RWS | Remote

OtherTextClassification

As an AI Specialist at RWS, I performed high-volume data annotation and labeling to support AI model development. I applied linguistic expertise to ensure data quality and contextual relevance throughout the AI training process. I also contributed to content moderation and compliance, maintaining accuracy under strict deadlines. • Labeled and annotated large volumes of text data for NLP model training. • Conducted content moderation aligned with platform policies. • Supported AI evaluation tasks to improve system accuracy. • Maintained a high throughput while upholding data quality standards.

As an AI Specialist at RWS, I performed high-volume data annotation and labeling to support AI model development. I applied linguistic expertise to ensure data quality and contextual relevance throughout the AI training process. I also contributed to content moderation and compliance, maintaining accuracy under strict deadlines. • Labeled and annotated large volumes of text data for NLP model training. • Conducted content moderation aligned with platform policies. • Supported AI evaluation tasks to improve system accuracy. • Maintained a high throughput while upholding data quality standards.

2025 - 2026

Education

Work History