enock momanyi
@enockmomanyi1
AI data trainer and annotation specialist improving machine learning models with image, audio, and text labeling.
AustraliaWhat I'm looking for
I’m an AI data trainer and annotation specialist who strengthens machine learning systems through careful dataset review, accurate labeling, and consistent data validation. I focus on improving how models learn human features and behaviors by ensuring annotations are accurate, relevant, and compliant with project guidelines.
Across remote image, audio, and ML research work, I’ve supported model performance with quality assurance checks, dataset cleaning, and optimized training approaches. I’ve also used advanced techniques like hyperparameter optimization and feature selection, built visualization tools to monitor model performance, and collaborated cross-functionally to deliver reliable, high-integrity AI outcomes—because I’m passionate about building smarter, ethical, and inclusive AI through clear data understanding.
Experience
Work history, roles, and key accomplishments
Audio Annotator
LXT
Nov 2024 - Feb 2025 (3 months)
Annotated and transcribed audio datasets, ensuring accurate tagging and transcription for AI model training. Performed quality assurance checks and collaborated with machine learning teams to identify and correct audio data errors.
Compiled, cleaned, and manipulated data for machine learning readiness, and analyzed large datasets to identify customer behavior trends. Built prediction models using feature selection and improved data collection through survey/poll design and randomized sampling.
Machine Learning Researcher
Remotask
Oct 2021 - Jan 2024 (2 years 3 months)
Conducted literature reviews, improved research workflows by optimizing codebases, and streamlined data processing pipelines to reduce project timelines. Designed custom machine learning models with rigorous validation, hyperparameter optimization, feature selection, and training/evaluation visualization tools.
Processed and scanned files into electronic databases while maintaining accurate, complete records. Managed file updates and retrieval, supported query responses, and prepared items for archiving and exchange by tracking file history and movement.
Reviewed and optimized codebases, conducted literature reviews to identify research gaps, and streamlined data processing pipelines to improve efficiency. Designed custom machine learning models with robust validation, applied feature selection to reduce complexity, automated routine tasks with Python/R, and mentored junior researchers.
Image Evaluation Specialist
Prolific
Evaluated and annotated large-scale image datasets to support AI and machine learning model development. Verified image content against accuracy, relevance, and compliance guidelines and flagged inconsistencies through quality assurance checks.
Education
Degrees, certifications, and relevant coursework
University of Melbourne
Bachelor of Arts, English Literature
Bachelor of Arts in English Literature from the University of Melbourne.
Availability
Location
AustraliaAuthorized to work in
Job categories
Skills
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