Austine

Key Skills

Software

No software listed

Top Subject Matter

Conversational AI

LLM assessment

NLP dataset annotation

Top Data Types

Text

Top Task Types

Entity (NER) Classification

Classification

Freelancer Overview

Freelance AI Trainer & Data Annotation Specialist (Remote). Education includes Diploma in Information Technology, N/A. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

Freelance AI Trainer & Data Annotation Specialist

TextEntity (NER) Classification

No description provided.

2023 - Present

Freelance AI Trainer & Data Annotation Specialist (Remote)

Text

Freelance AI Trainer and Data Annotation Specialist evaluating AI-generated responses and supporting supervised AI improvement through structured feedback. The work includes labeling and classifying text datasets for machine learning and NLP use cases, followed by quality assurance to ensure outputs meet project guidelines and safety requirements. Tasks emphasize accuracy, relevance, and consistency while identifying data quality issues and recommending improvements. • Evaluate AI responses for accuracy, relevance, safety, and overall quality • Annotate and classify datasets for machine learning and NLP • Review and rank AI outputs using established evaluation criteria • Conduct QA checks and flag data quality problems with recommendations

2023 - Present

Data Annotation & Content Reviewer

TextClassificationEntity (NER) Classification

No description provided.

2021 - 2022

Data Annotation & Content Reviewer (Remote Freelance Projects)

TextEntity (NER) Classification

Data Annotation & Content Reviewer performing text labeling and content evaluation for AI/ML projects through remote freelance work. Responsibilities included classification and sentiment-related labeling, plus validation of transcription and other content outputs to correct inaccuracies. The role also focused on assessing search results and content relevance using defined quality checks. • Label and categorize text datasets for AI and machine learning • Perform sentiment analysis and content classification • Evaluate search results and content relevance • Review transcription outputs, correct inaccuracies, and run data validation/QA checks

2021 - 2022

Education

Work History