Alfred Danso

Key Skills

Software

Datasaur

Labelbox

LightTag

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Task Types

Data Collection

Prompt Response Writing SFT

Question Answering

Text Generation

Text Summarization

Freelancer Overview

I have a strong background in AI-driven customer engagement, NLP model evaluation, and chatbot optimization, leveraging Generative AI tools like ChatGPT, Copilot, Gemini, and Llama 3.0. While new to formal data labeling, I have experience in LLM evaluation, AI content moderation, and text classification, where I have refined AI-generated responses for accuracy, relevance, and tone. My work in customer success and AI-powered workflows has involved analyzing AI-generated chatbot interactions, optimizing NLP-based systems, and training AI models to improve user experience. I am eager to apply my expertise in AI-assisted content refinement, sentiment analysis, and prompt engineering to data labeling projects that enhance machine learning model performance.

Labeling Experience

AI-Powered Customer Support & Chatbot Optimization

LighttagTextEntity Ner ClassificationQuestion Answering

Refined AI-driven customer support chatbots by evaluating responses, improving AI accuracy, and ensuring seamless user interactions. Tasks included: Training AI models to enhance chatbot-generated responses for clarity and relevance. Analyzing chatbot interactions to identify and correct AI misinterpretations. Optimizing AI-driven workflows to improve automated customer service efficiency. Project Size & Quality Measures: Evaluated and refined 5000+ chatbot interactions across multiple platforms. Improved chatbot accuracy and response quality, reducing customer escalations. Maintained consistency in AI-generated responses, following AI ethics and NLP best practices.

Refined AI-driven customer support chatbots by evaluating responses, improving AI accuracy, and ensuring seamless user interactions. Tasks included: Training AI models to enhance chatbot-generated responses for clarity and relevance. Analyzing chatbot interactions to identify and correct AI misinterpretations. Optimizing AI-driven workflows to improve automated customer service efficiency. Project Size & Quality Measures: Evaluated and refined 5000+ chatbot interactions across multiple platforms. Improved chatbot accuracy and response quality, reducing customer escalations. Maintained consistency in AI-generated responses, following AI ethics and NLP best practices.

2024

AI Content Moderation & Text Classification

DatasaurTextEntity Ner ClassificationSegmentation

Refined AI-generated chatbot responses by performing text classification, sentiment analysis, and content moderation to improve accuracy, compliance, and user experience. Tasks included: Categorizing AI-generated responses based on relevance, accuracy, and sentiment. Flagging biased or inappropriate content to ensure ethical AI communication. Enhancing sentiment analysis models by labeling responses as positive, neutral, or negative. Project Size & Quality Measures: Reviewed and classified 10,000+ chatbot interactions for 100K+ users. Ensured bias-free, compliant, and contextually accurate AI-generated responses. Adhered to text classification standards, ethical AI guidelines, and sentiment validation best practices.

Refined AI-generated chatbot responses by performing text classification, sentiment analysis, and content moderation to improve accuracy, compliance, and user experience. Tasks included: Categorizing AI-generated responses based on relevance, accuracy, and sentiment. Flagging biased or inappropriate content to ensure ethical AI communication. Enhancing sentiment analysis models by labeling responses as positive, neutral, or negative. Project Size & Quality Measures: Reviewed and classified 10,000+ chatbot interactions for 100K+ users. Ensured bias-free, compliant, and contextually accurate AI-generated responses. Adhered to text classification standards, ethical AI guidelines, and sentiment validation best practices.

2024 - 2024

LLM Evaluation & Prompt Optimization

LabelboxTextEntity Ner ClassificationClassification

Reviewed and optimized AI-generated chatbot responses through LLM evaluation, prompt engineering, and text classification to enhance accuracy, coherence, and user engagement. Tasks included: Analyzing and ranking AI-generated responses based on helpfulness and correctness. Optimizing chatbot interactions by testing and refining prompts. Providing structured feedback to improve LLM performance and response quality. Project Size & Quality Measures: Evaluated 1000+ chatbot responses used by 50K+ users. Ensured AI-generated text followed accuracy, consistency, and ethical AI guidelines. Adhered to text classification, LLM evaluation, and sentiment analysis best practices.

Reviewed and optimized AI-generated chatbot responses through LLM evaluation, prompt engineering, and text classification to enhance accuracy, coherence, and user engagement. Tasks included: Analyzing and ranking AI-generated responses based on helpfulness and correctness. Optimizing chatbot interactions by testing and refining prompts. Providing structured feedback to improve LLM performance and response quality. Project Size & Quality Measures: Evaluated 1000+ chatbot responses used by 50K+ users. Ensured AI-generated text followed accuracy, consistency, and ethical AI guidelines. Adhered to text classification, LLM evaluation, and sentiment analysis best practices.

2024 - 2024

Education

Work History