Brown Godwin

Key Skills

Software

CVAT

Scale AI

Data Annotation Tech

Clickworker

iMerit

Labelbox

Mercor

Micro1

Lionbridge

Top Subject Matter

Economics & Game Theory

Data Analysis or Quantitative Research

Business Strategy & Management

Top Data Types

Text

Image

Document

Top Label Types

Evaluation Rating

Bounding Box

Segmentation

Classification

Object Detection

Text Generation

Question Answering

Text Summarization

RLHF

Fine Tuning

Freelancer Overview

I am a detail-oriented Data Annotation Technician with hands-on experience in labeling and annotating large-scale datasets for AI and machine learning projects, including computer vision, natural language processing, and speech recognition. I have worked with industry-standard tools like CVAT, Labelbox, and custom annotation platforms, maintaining a consistent accuracy rate above 98%. My background includes evaluating and refining AI-generated content, providing linguistic and contextual feedback, and ensuring high-quality training data for model development. I excel at following detailed guidelines, resolving ambiguities, and collaborating with QA teams to deliver structured, reliable datasets that directly improve AI model performance. My strong analytical skills, critical thinking, and familiarity with prompt engineering enable me to contribute effectively to fast-paced, tech-driven environments.

Labeling Experience

AI Model Training Data Annotation, Data Annotation Specialist

CVATImageBounding Box

Annotated and labeled large-scale image datasets for computer vision tasks, focusing on bounding box and object detection projects. Adhered strictly to project guidelines and resolved ambiguities while maintaining high output accuracy. Delivered clean, structured datasets that directly improved AI model training results. • Performed bounding box creation for image data. • Participated in labeling and review cycles. • Contributed to annotation consistency and quality. • Met productivity and accuracy benchmarks on tight deadlines.

Annotated and labeled large-scale image datasets for computer vision tasks, focusing on bounding box and object detection projects. Adhered strictly to project guidelines and resolved ambiguities while maintaining high output accuracy. Delivered clean, structured datasets that directly improved AI model training results. • Performed bounding box creation for image data. • Participated in labeling and review cycles. • Contributed to annotation consistency and quality. • Met productivity and accuracy benchmarks on tight deadlines.

2024 - 2025

Evaluator, Populi AI

CVATTextEvaluation Rating

Assessed and rated AI-generated English text responses for grammatical, factual, and contextual accuracy. Delivered constructive feedback to enhance the performance of large language models. Ensured linguistic quality and adherence to task-specific criteria for AI outputs. • Evaluated model responses for accuracy and relevance. • Provided detailed linguistic and contextual feedback. • Maintained consistent rating standards across diverse tasks. • Contributed to iterative improvements of model quality.

Assessed and rated AI-generated English text responses for grammatical, factual, and contextual accuracy. Delivered constructive feedback to enhance the performance of large language models. Ensured linguistic quality and adherence to task-specific criteria for AI outputs. • Evaluated model responses for accuracy and relevance. • Provided detailed linguistic and contextual feedback. • Maintained consistent rating standards across diverse tasks. • Contributed to iterative improvements of model quality.

2024 - 2024

Data Annotation Specialist, DataAnnotationTech

Data Annotation TechImageBounding Box

Accurately labeled, annotated, and categorized large datasets, including images, for AI model training in computer vision projects. Utilized specialized annotation platforms to tag objects, transcribe data, and classify information. Worked under detailed guidelines to ensure data quality and annotation consistency. • Tagged objects and entities using bounding boxes. • Collaborated with QA teams to incorporate feedback. • Maintained annotation accuracy above target thresholds. • Managed datasets for diverse computer vision use cases.

Accurately labeled, annotated, and categorized large datasets, including images, for AI model training in computer vision projects. Utilized specialized annotation platforms to tag objects, transcribe data, and classify information. Worked under detailed guidelines to ensure data quality and annotation consistency. • Tagged objects and entities using bounding boxes. • Collaborated with QA teams to incorporate feedback. • Maintained annotation accuracy above target thresholds. • Managed datasets for diverse computer vision use cases.

2023 - 2024

T1 English expert, Outlier

Scale AITextEvaluation Rating

Reviewed and scored AI-generated English content for grammatical accuracy, fluency, and logical coherence. Ensured responses met quality standards across conversational, formal, and technical domains. Applied consistent criteria to evaluate diverse NLP outputs. • Rated AI responses for multiple use cases. • Focused on English grammatical and stylistic accuracy. • Refined and enhanced output consistency. • Collaborated with other language experts for best practices.

Reviewed and scored AI-generated English content for grammatical accuracy, fluency, and logical coherence. Ensured responses met quality standards across conversational, formal, and technical domains. Applied consistent criteria to evaluate diverse NLP outputs. • Rated AI responses for multiple use cases. • Focused on English grammatical and stylistic accuracy. • Refined and enhanced output consistency. • Collaborated with other language experts for best practices.

2023 - 2024

Education

Work History