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Polycap Odhiambo

AI Annotation and Data Labeling Specialist (Academic/Training)

Kenya flagNairobi, Kenya
$18.00/hrExpertLabelboxImeritRemotasks

Key Skills

Software

LabelboxLabelbox
iMeritiMerit
RemotasksRemotasks

Top Subject Matter

Medical Sciences
Hallucination Detection
3D Cuboids & LiDAR

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

ClassificationClassification
Bounding BoxBounding Box
TranscriptionTranscription
Question AnsweringQuestion Answering
SegmentationSegmentation

Freelancer Overview

AI Annotation and Data Labeling Specialist (Academic/Training). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox. Education includes Bachelor of Medicine and Bachelor of Surgery, N/A (2022). AI-training focus includes data types such as Text and labeling workflows including Classification.

ExpertEnglishSwahili

Labeling Experience

Labelbox

AI Annotation and Data Labeling Specialist (Academic/Training)

LabelboxTextClassification
I have conducted annotation of text, medical images, and structured data to contribute to AI/ML dataset development. This work required attention to detail, precision in labeling, and application of medical and scientific knowledge to ensure accuracy. I utilized tools such as Labelbox, Prodigy, and CVAT to complete annotation tasks across domains relevant to healthcare and medical research. • Annotated diverse data types including clinical texts and medical images for research datasets. • Ensured high-quality, accurate classifications to support machine learning training. • Performed quality assurance steps and data cleaning during labeling processes. • Applied expertise in medical sciences and biostatistics to inform annotation.

I have conducted annotation of text, medical images, and structured data to contribute to AI/ML dataset development. This work required attention to detail, precision in labeling, and application of medical and scientific knowledge to ensure accuracy. I utilized tools such as Labelbox, Prodigy, and CVAT to complete annotation tasks across domains relevant to healthcare and medical research. • Annotated diverse data types including clinical texts and medical images for research datasets. • Ensured high-quality, accurate classifications to support machine learning training. • Performed quality assurance steps and data cleaning during labeling processes. • Applied expertise in medical sciences and biostatistics to inform annotation.

Present

Education

N

N/A

Bachelor of Medicine and Bachelor of Surgery, Medicine and Surgery

Bachelor of Medicine and Bachelor of Surgery
2022

Work History

N

N/A

Academic Writer & Researcher

Kisumu
2021 - 2023
N

N/A

Research Assistant

Kisumu
2020 - 2021