Shina A.

Key Skills

Software

Labelbox

Remotasks

Top Subject Matter

Conversational AI

Nlp Domain Expertise

Generative AI

Top Data Types

Text

Document

Top Task Types

Entity (NER) Classification

Freelancer Overview

Freelance AI Trainer. Core strengths include Labelbox and Remotasks. Education includes Bachelor of Science, N/A (2023). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

Data Annotation for NLP Models

LabelboxTextEntity (NER) Classification

I performed data annotation for NLP models by labeling text datasets for intent classification, sentiment analysis, and language understanding. Tasks included organizing datasets for machine learning training and validation, supporting robust model performance. Quality control measures ensured high annotation accuracy and consistency. • Labeled text data for intent, sentiment, and language understanding tasks. • Prepared structured datasets to facilitate AI model training. • Improved annotation consistency with strict quality checks. • Followed detailed annotation guidelines to support reproducibility.

2023 - Present

AI Content Evaluation Project

LabelboxText

During the AI Content Evaluation Project, I reviewed and rated AI-generated text outputs for factual correctness, readability, and user relevance. I flagged harmful or low-quality responses to ensure content safety and consistency. The project emphasized attention to detail and accurate recordkeeping. • Reviewed and rated AI outputs for quality and factual accuracy. • Identified and reported harmful or biased responses for QA. • Maintained detailed evaluation records to track reviewer accuracy. • Consistently met evaluation quality targets over project duration.

2023 - Present

Chatbot Response Testing Project

RemotasksText

In a Chatbot Response Testing Project, I assessed conversational AI systems using structured prompts and edge-case scenarios. I evaluated outputs for tone, context, and safety compliance to identify optimization areas. My work supported improvements in chatbot reasoning and reliability. • Tested chatbots with structured prompts for contextual and safety evaluation. • Reported and documented behavioral inconsistencies for further model tuning. • Suggested improvements for optimizing AI-generated responses. • Ensured evaluations adhered to quality assurance and safety guidelines.

2023 - Present

Freelance AI Trainer

LabelboxText

As a Freelance AI Trainer, I evaluated and labeled large datasets to improve NLP and generative AI models. Tasks involved reviewing AI-generated responses, performing data annotation, and prompt engineering for chatbot and NLP systems. I maintained high accuracy standards and collaborated remotely with global teams using digital platforms. • Evaluated and labeled over 5,000+ AI-generated text responses for accuracy, tone, and compliance. • Conducted large-scale data annotation for NLP and machine learning training datasets. • Designed, tested, and engineered prompts for chatbot model optimization. • Collaborated remotely using platforms such as Slack, Notion, Jira, Labelbox, and Remotasks.

2023 - Present

Education

Work History