Kevine Oramo

Key Skills

Software

Telus

Other

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Top Label Types

Classification

Question Answering

Mapping

Prompt Response Writing SFT

Text Generation

Text Summarization

Audio Recording

Freelancer Overview

I am a highly detail-oriented AI data specialist with hands-on experience in data annotation, labeling, and evaluation of generative AI across text, image, and audio domains. My work has spanned large-scale projects for companies like Outlier AI, RWS Group, and TELUS Digital, where I consistently delivered 98-99%+ accuracy in tasks such as entity recognition, sentiment analysis, intent classification, and multimodal dataset curation. I am skilled in reinforcement learning from human feedback (RLHF), prompt evaluation, and structured reasoning to enhance the accuracy and performance of AI models, particularly in NLP and computer vision applications. My background in financial engineering also enables me to handle domain-specific data, especially in finance and business analytics, while my proficiency with tools like Python, pandas, SQL, and basic JavaScript allows me to contribute effectively to technical workflows and quality assurance processes. I am passionate about improving AI systems through meticulous data work and cross-functional collaboration.

Labeling Experience

AI training

OtherTextPrompt Response Writing SFT

• Trained and evaluated large language models through structured tasks involving reasoning, classification, and response quality assessment. • Provided human feedback to improve model accuracy, alignment, and factual consistency. • Performed prompt evaluation, error analysis, and output grading under strict quality benchmarks. • Worked with complex instructions, edge cases, and domain-specific data to improve model performance.

• Trained and evaluated large language models through structured tasks involving reasoning, classification, and response quality assessment. • Provided human feedback to improve model accuracy, alignment, and factual consistency. • Performed prompt evaluation, error analysis, and output grading under strict quality benchmarks. • Worked with complex instructions, edge cases, and domain-specific data to improve model performance.

2025

Annotation for large-scale text, image, and audio datasets

OtherTextText GenerationText Summarization

• Led high-precision annotation for large-scale text, image, and audio datasets supporting global AI systems. • Performed financial domain tagging and entity recognition, improving NLP accuracy for banking AI models. • Maintained 99%+ accuracy through rigorous QA audits and taxonomy compliance. • Executed sentiment analysis, intent classification, and bounding-box annotations under tight deadlines.

• Led high-precision annotation for large-scale text, image, and audio datasets supporting global AI systems. • Performed financial domain tagging and entity recognition, improving NLP accuracy for banking AI models. • Maintained 99%+ accuracy through rigorous QA audits and taxonomy compliance. • Executed sentiment analysis, intent classification, and bounding-box annotations under tight deadlines.

2023 - 2024

Image Annotation

TelusImageClassificationQuestion Answering

Curated multimodal datasets to train Generative AI and Computer Vision models. • Evaluated search queries and intent to improve ranking and relevance algorithms. Applied linguistic and semantic analysis to enhance chatbot precision and user interaction quality.

Curated multimodal datasets to train Generative AI and Computer Vision models. • Evaluated search queries and intent to improve ranking and relevance algorithms. Applied linguistic and semantic analysis to enhance chatbot precision and user interaction quality.

2022 - 2022

Education

Work History