Felix Nyuysirni Verdzedzeh

Key Skills

Software

Appen

CrowdSource

Lionbridge

Mindrift

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Text

Video

Top Label Types

Fine Tuning

Evaluation Rating

Audio Recording

Object Detection

Action Recognition

Prompt Response Writing SFT

Classification

Question Answering

Data Collection

Transcription

Freelancer Overview

I am a dedicated AI and machine learning professional with hands-on experience in data annotation, labeling, and quality assurance for training data, particularly in natural language processing and speech recognition domains. My background includes training AI systems for Google Assistant, where I performed detailed audio annotation, evaluated machine-generated outputs, and ensured data accuracy and consistency through rigorous quality checks. I am skilled in developing and following annotation guidelines, documenting datasets, and collaborating with cross-functional teams to optimize language model performance. My technical expertise spans prompt engineering, LLM training, and the use of various evaluation and workflow tools. I am passionate about leveraging my analytical and technical skills to deliver high-quality, reliable training data that advances AI innovation and supports research-driven development.

Labeling Experience

Search Relevance annotator

LionbridgeImageClassificationQuestion Answering

The project’s main goal is to build high-quality, human-labelled datasets that help evaluate and improve the performance of search engines. These datasets will be used for machine learning model training, benchmarking, and metric development across diverse global markets.

The project’s main goal is to build high-quality, human-labelled datasets that help evaluate and improve the performance of search engines. These datasets will be used for machine learning model training, benchmarking, and metric development across diverse global markets.

2025

Video Annotator

OtherVideoObject DetectionAction Recognition

* Perform annotation and labeling tasks across video, image, and multimodal data. * Accurately apply English-language annotation guidelines to complex, real-world scenarios. * Maintain high standards of consistency, precision, and attention to detail. * Identify edge cases and ambiguous examples, escalating questions clearly and concisely in English.

* Perform annotation and labeling tasks across video, image, and multimodal data. * Accurately apply English-language annotation guidelines to complex, real-world scenarios. * Maintain high standards of consistency, precision, and attention to detail. * Identify edge cases and ambiguous examples, escalating questions clearly and concisely in English.

2025

AI Trainer

CrowdsourceAudioFine TuningEvaluation Rating

• Trained AI systems by completing structured English audio annotation tasks for Google Assistant, applying established data training and linguistic annotation best practices. • Evaluated machine-generated audio outputs for accuracy, clarity, pronunciation quality, and naturalness using the Perapera eval uation platform, providing detailed feedback to enhance nuanced AI reasoning and speech performance. • Performed data labeling, quality assurance checks, and evaluation tasks to support continuous improvement of AI language and speech models. • Consistently delivered high-quality results in a fully remote environment, effectively using collaboration and workflow tools to maintain productivity and meet project deadlines. • Adhered to project-specific scripts, annotation guidelines, and evaluation standards to ensure accuracy, consistency, and compliance across all assigned tasks.

• Trained AI systems by completing structured English audio annotation tasks for Google Assistant, applying established data training and linguistic annotation best practices. • Evaluated machine-generated audio outputs for accuracy, clarity, pronunciation quality, and naturalness using the Perapera eval uation platform, providing detailed feedback to enhance nuanced AI reasoning and speech performance. • Performed data labeling, quality assurance checks, and evaluation tasks to support continuous improvement of AI language and speech models. • Consistently delivered high-quality results in a fully remote environment, effectively using collaboration and workflow tools to maintain productivity and meet project deadlines. • Adhered to project-specific scripts, annotation guidelines, and evaluation standards to ensure accuracy, consistency, and compliance across all assigned tasks.

2018 - 2019

Education

Work History