Key Skills

Software

AWS SageMaker

Appen

Clickworker

iMerit

Labelbox

Lionbridge

Mercor

Mindrift

OneForma

Remotasks

Scale AI

SuperAnnotate

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Text

Video

Top Task Types

Data Collection

Evaluation Rating

Prompt Response Writing SFT

Question Answering

Text Summarization

Freelancer Overview

Dynamic and results-driven Data Annotation and AI Training Professional with over 5 years of hands-on experience driving the performance of Large Language Models (LLMs), AI systems, and linguistic datasets across diverse domains. Adept at ensuring data integrity, annotation accuracy, and linguistic consistency in high-impact projects for global AI leaders. Proven track record in LLM fine-tuning, QA benchmarking, speech and text data labeling, and cross-lingual content validation, contributing to measurable improvements in model precision, semantic understanding, and user experience. Recognized for technical adaptability, linguistic insight, and meticulous quality control that enhance AI systems’ accuracy, fairness, and contextual relevance.

Labeling Experience

Senior Data Annotation & AI Training Specialist

Scale AIAudioFine TuningPrompt Response Writing SFT

Contributed to LLM fine-tuning projects enhancing response accuracy by up to 28% through linguistic calibration. • Led annotation teams across text, audio, and visual data pipelines, maintaining >98% QA compliance. • Executed chatbot fine-tuning and AI response evaluation for healthcare, education, and finance domains. • Performed search relevance and ranking evaluations, boosting retrieval accuracy by 23%. • Supported audio transcription and labeling for ASR models, improving phonetic model accuracy from 87% to 94%. • Managed STEM-focused dataset creation ensuring factual precision across scientific domains. • Delivered cross-modal annotation exceeding 1M labeled items for computer vision and NLP tasks. • Implemented QA frameworks reducing annotation inconsistencies by 35%.

Contributed to LLM fine-tuning projects enhancing response accuracy by up to 28% through linguistic calibration. • Led annotation teams across text, audio, and visual data pipelines, maintaining >98% QA compliance. • Executed chatbot fine-tuning and AI response evaluation for healthcare, education, and finance domains. • Performed search relevance and ranking evaluations, boosting retrieval accuracy by 23%. • Supported audio transcription and labeling for ASR models, improving phonetic model accuracy from 87% to 94%. • Managed STEM-focused dataset creation ensuring factual precision across scientific domains. • Delivered cross-modal annotation exceeding 1M labeled items for computer vision and NLP tasks. • Implemented QA frameworks reducing annotation inconsistencies by 35%.

2020

Linguistic Quality Assurance & Localization Analyst

AppenTextQuestion AnsweringData Collection

• Conducted linguistic QA and localization checks ensuring naturalness and cultural relevance. • Validated multilingual translation outputs increasing translation accuracy by 15%. • Assessed social media data for sentiment analysis achieving >97% inter-annotator agreement. • Supported search engine evaluation projects optimizing query relevance. • Produced training datasets for emotion recognition and contextual classification.

• Conducted linguistic QA and localization checks ensuring naturalness and cultural relevance. • Validated multilingual translation outputs increasing translation accuracy by 15%. • Assessed social media data for sentiment analysis achieving >97% inter-annotator agreement. • Supported search engine evaluation projects optimizing query relevance. • Produced training datasets for emotion recognition and contextual classification.

2018 - 2019

Education

Work History