For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
M

Mary Achieng

Intern — Bacteriology, Serology & Parasitology

Kenya flagEldoret, Kenya
Expert

Key Skills

Software

No software listed

Top Subject Matter

Veterinary Diagnostics
Medical Laboratory
Marine and Fisheries Research

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Classification

Freelancer Overview

Intern — Bacteriology, Serology & Parasitology. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Diploma in Science Laboratory Technology, The Technical University of Kenya (2022) and Kenya Certificate of Secondary Education, God Ber Secondary School (2017). AI-training focus includes data types such as Image, Medical, and DICOM and labeling workflows including Classification.

Expert

Labeling Experience

Intern — Bacteriology, Serology & Parasitology

ImageClassification
Generated and organized structured diagnostic data across bacteriology, protozoology, helminthology, and serology for use in AI model development. Classified and identified biological specimens with high precision, mirroring manual annotation for image-recognition models. Maintained rigorous records and performed thorough quality checks to ensure labeling accuracy and data integrity. • Developed data pipelines for traceable specimen annotation. • Ensured zero tolerance for labeling errors in diagnostic outputs. • Adhered to strict procedural protocols applicable to annotation guideline compliance. • Supported data management processes analogous to AI training workflows.

Generated and organized structured diagnostic data across bacteriology, protozoology, helminthology, and serology for use in AI model development. Classified and identified biological specimens with high precision, mirroring manual annotation for image-recognition models. Maintained rigorous records and performed thorough quality checks to ensure labeling accuracy and data integrity. • Developed data pipelines for traceable specimen annotation. • Ensured zero tolerance for labeling errors in diagnostic outputs. • Adhered to strict procedural protocols applicable to annotation guideline compliance. • Supported data management processes analogous to AI training workflows.

2023 - Present

Voluntary Lab Technician

Classification
Collected, labeled, and preserved blood samples for AI-adjacent medical dataset workflows. Ensured strong data provenance through precise annotation and rigorous specimen tracking. Maintained detailed records and updated procedural documentation for annotation guideline management. • Labeled specimens for viral load and CD4 count testing. • Supported health informatics processes relevant to AI medical data workflows. • Practiced disciplined sample handling to maintain data integrity. • Applied data labeling best practices in a healthcare setting.

Collected, labeled, and preserved blood samples for AI-adjacent medical dataset workflows. Ensured strong data provenance through precise annotation and rigorous specimen tracking. Maintained detailed records and updated procedural documentation for annotation guideline management. • Labeled specimens for viral load and CD4 count testing. • Supported health informatics processes relevant to AI medical data workflows. • Practiced disciplined sample handling to maintain data integrity. • Applied data labeling best practices in a healthcare setting.

2020 - 2020

Attached Researcher

ImageClassification
Collected, preserved, and performed manual classification of water and biological specimens to create structured datasets for annotation. Categorized samples by sex and species, providing granular labels similar to those required in AI model training. Applied consistent research methods to handle multiple data types across projects. • Managed specimen categorization for annotation-relevant datasets. • Developed systematic workflows for species-level labeling. • Applied structured research methodology for data consistency. • Facilitated creation of multi-variable labeled datasets for future analysis.

Collected, preserved, and performed manual classification of water and biological specimens to create structured datasets for annotation. Categorized samples by sex and species, providing granular labels similar to those required in AI model training. Applied consistent research methods to handle multiple data types across projects. • Managed specimen categorization for annotation-relevant datasets. • Developed systematic workflows for species-level labeling. • Applied structured research methodology for data consistency. • Facilitated creation of multi-variable labeled datasets for future analysis.

2019 - 2019

Education

T

The Technical University of Kenya

Diploma in Science Laboratory Technology, Science Laboratory Technology

Diploma in Science Laboratory Technology
2018 - 2022
G

God Ber Secondary School

Kenya Certificate of Secondary Education, General Secondary Education

Kenya Certificate of Secondary Education
2014 - 2017

Work History

N

National Veterinary Investigation Laboratories

Laboratory Intern

Eldoret
2023 - Present
K

Kibos Sugar And Allied Industries

Lab Analyst

Kisumu
2022 - 2022