Vivian Alemba

Key Skills

Software

CloudFactory

Remotasks

Sama

OneForma

Labelbox

iMerit

Hasty

Clickworker

AWS SageMaker

LabelImg

SuperAnnotate

Surge AI

Top Subject Matter

General AI/ML Model Training

Damage Detection/Visual Inspection

Legal Services & Contract Review

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Polygon

Segmentation

Classification

Entity (NER) Classification

Point/Key Point

Cuboid

Polyline

Object Detection

Text Generation

Question Answering

Text Summarization

RLHF

Transcription

Computer Programming/Coding

Data Collection

Prompt + Response Writing (SFT)

Evaluation/Rating

Freelancer Overview

AI Data Specialist – Project Diamond (RWS). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and CloudFactory. Education includes Bachelor of Science, Pioneer International University (2022) and Kenya Certificate of Secondary Education, Nyabisawa Girls High School (2016). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

Data Labeler – Damage Detection Project (CloudFactory)

CloudfactoryImageBounding Box

As a Data Labeler for the Damage Detection Project at CloudFactory, I labeled and categorized images for training damage detection models. I utilized bounding boxes and classification techniques to identify defects with high accuracy and met productivity benchmarks. My work directly supported AI model improvement through precise and consistent annotations. • Annotated images to detect and classify types of damage or defects. • Maintained productivity and accuracy while following strict annotation guidelines. • Provided feedback on unclear cases and improved labeling instructions. • Supported model performance by ensuring data quality and consistency.

As a Data Labeler for the Damage Detection Project at CloudFactory, I labeled and categorized images for training damage detection models. I utilized bounding boxes and classification techniques to identify defects with high accuracy and met productivity benchmarks. My work directly supported AI model improvement through precise and consistent annotations. • Annotated images to detect and classify types of damage or defects. • Maintained productivity and accuracy while following strict annotation guidelines. • Provided feedback on unclear cases and improved labeling instructions. • Supported model performance by ensuring data quality and consistency.

Not specified

AI Data Specialist – Project Diamond (RWS)

ImageBounding Box

As an AI Data Specialist on Project Diamond at RWS, I performed data annotation and labeling tasks for AI model training. My primary focus was on annotating and reviewing image and text datasets, ensuring high consistency and accuracy. I conducted quality checks and collaborated with a global team to meet strict guidelines and project deadlines. • Annotated and reviewed image and text data for training AI/ML models. • Ensured quality and reduced annotation errors through thorough review. • Followed detailed annotation guidelines for high dataset reliability. • Worked with distributed teams to meet productivity benchmarks.

As an AI Data Specialist on Project Diamond at RWS, I performed data annotation and labeling tasks for AI model training. My primary focus was on annotating and reviewing image and text datasets, ensuring high consistency and accuracy. I conducted quality checks and collaborated with a global team to meet strict guidelines and project deadlines. • Annotated and reviewed image and text data for training AI/ML models. • Ensured quality and reduced annotation errors through thorough review. • Followed detailed annotation guidelines for high dataset reliability. • Worked with distributed teams to meet productivity benchmarks.

Not specified

Education

Work History