Ayanda Goboza

Key Skills

Software

Appen

Other

Top Subject Matter

Legal Services & Contract Review

Financial Compliance & Risk Analysis

Gaming Domain Expertise

Top Data Types

Text

Document

Top Task Types

Evaluation/Rating

Text Generation

Transcription

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

Freelance AI Linguist & Data Annotator. Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Appen, Transperfect, and Smartcat Platform. Education includes Diploma in Business Management, Damelin College (SAIM) (2016) and Certificate in Business Management, Damelin College (SAIM) (2009). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Freelance AI Linguist & Data Annotator

AppenText

As a Freelance AI Linguist & Data Annotator, I refined multilingual text datasets to improve large language model (LLM) accuracy and cultural relevance. I evaluated AI-generated text for tone, context, and translation errors while providing structured written feedback to AI engineers and research teams. I collaborated globally to troubleshoot linguistic edge cases and annotated metadata for film, TV, and corporate clients. • Ensured 98%+ QA rating on Smartcat platform • Supported use cases in legal, finance, gaming, energy, and entertainment • Applied coding logic using basic Python for preprocessing large corpora • Maintained character limits, tone flags, and regional accuracy during annotation

As a Freelance AI Linguist & Data Annotator, I refined multilingual text datasets to improve large language model (LLM) accuracy and cultural relevance. I evaluated AI-generated text for tone, context, and translation errors while providing structured written feedback to AI engineers and research teams. I collaborated globally to troubleshoot linguistic edge cases and annotated metadata for film, TV, and corporate clients. • Ensured 98%+ QA rating on Smartcat platform • Supported use cases in legal, finance, gaming, energy, and entertainment • Applied coding logic using basic Python for preprocessing large corpora • Maintained character limits, tone flags, and regional accuracy during annotation

2016 - Present

Education

Work History