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Kristi Hofus

Kristi Hofus

Data Annotation Specialist & QA Reviewer

KENYA flag
Nanyuki, Kenya
$40.00/hrExpertLabelboxCVAT

Key Skills

Software

LabelboxLabelbox
CVATCVAT

Top Subject Matter

AI/ML model training datasets

Top Data Types

ImageImage
TextText
AudioAudio
VideoVideo

Top Task Types

Classification
Segmentation
Object Detection
RLHF

Freelancer Overview

Data Annotation Specialist & QA Reviewer. Core strengths include Labelbox, CVAT, and Amazon Mechanical Turk. Education includes Bachelor of Science, N/A (2019). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Classification, Segmentation, and Object Detection.

ExpertEnglish

Labeling Experience

Labelbox

Data Annotation Specialist & QA Reviewer

LabelboxImageClassificationSegmentation
As a Data Annotation Specialist & QA Reviewer, I labeled and validated datasets for AI and machine learning workflows, ensuring dataset quality and consistency. I worked with data across image, text, audio, and video domains using industry annotation tools and strict guidelines. My responsibilities included annotation, quality control, and collaboration on improving annotation processes and guidelines. • Labeled images, text, audio, and video for use in AI model training and evaluation. • Performed segmentation, classification, object detection, RLHF, and evaluation tasks. • Used Labelbox, CVAT, and Amazon Mechanical Turk for annotation and review. • Ensured quality and guideline compliance, analyzed ambiguous data, and supported team-based process refinement.

As a Data Annotation Specialist & QA Reviewer, I labeled and validated datasets for AI and machine learning workflows, ensuring dataset quality and consistency. I worked with data across image, text, audio, and video domains using industry annotation tools and strict guidelines. My responsibilities included annotation, quality control, and collaboration on improving annotation processes and guidelines. • Labeled images, text, audio, and video for use in AI model training and evaluation. • Performed segmentation, classification, object detection, RLHF, and evaluation tasks. • Used Labelbox, CVAT, and Amazon Mechanical Turk for annotation and review. • Ensured quality and guideline compliance, analyzed ambiguous data, and supported team-based process refinement.

2019 - Present

Education

N

N/A

Bachelor of Science, Data Science or Computer Science or Related Field

Bachelor of Science
2015 - 2019

Work History

A

Atlas capture

Annotation

Nanyuki
2022 - Present