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Mutuma G.

Mutuma G.

AI Data Trainer | Data Annotation Specialist | AI Model Evaluation & QA (RLHF, SFT, LiDAR, Computer Vision)

Kenya flagMeru, Kenya

Key Skills

Software

No software listed

Top Subject Matter

AI Data Training
Data Annotation
Computer Vision
Cybersecurity.

Top Data Types

ImageImage
VideoVideo
TextText

Top Task Types

Bounding BoxBounding Box
PolygonPolygon
PolylinePolyline
Entity (NER) ClassificationEntity (NER) Classification
SegmentationSegmentation
CuboidCuboid

Freelancer Overview

I have extensive experience as an AI Data Trainer and Data Annotation Specialist, working on a wide range of projects involving text, image, video, audio, and cybersecurity datasets. My expertise includes data labeling, annotation, quality assurance (QA), AI model evaluation, reinforcement learning from human feedback (RLHF), supervised fine-tuning (SFT), prompt evaluation, response ranking, content moderation, and metadata tagging. I have contributed to improving AI model accuracy by identifying annotation errors, maintaining high-quality standards, following detailed guidelines, and providing actionable feedback to enhance dataset quality and model performance. In addition, I have experience with advanced annotation tasks such as LiDAR labeling, object detection, semantic segmentation, bounding boxes, transcription validation, and multilingual data evaluation. I am proficient in reviewing complex datasets, ensuring consistency across annotations, conducting quality audits, and supporting machine learning teams with reliable training data. My background in IT administration, cybersecurity, and AI data operations enables me to understand technical requirements quickly and deliver accurate, detail-oriented results in fast-paced annotation environments.

Labeling Experience

Yes, I have prior data labeling and AI training experience

Yes, I have prior data labeling and AI training experience. I have worked as an AI Data Trainer and Data Annotation Specialist on projects involving text, image, video, audio, LiDAR, and cybersecurity datasets. My experience includes data labeling, annotation, quality assurance (QA), AI response evaluation, RLHF, supervised fine-tuning (SFT), prompt and response ranking, content moderation, transcription validation, object detection, semantic segmentation, and metadata tagging. I have consistently followed annotation guidelines, reviewed datasets for accuracy and consistency, identified and corrected labeling errors, and contributed to improving AI model performance through high-quality training data and detailed feedback.

Not specified

Education

M

Masters in Information Technology Security Audit (Expected 2008) — with additional training in Generative AI, AI Data An

Degree not specified

Not specified
Not specified

Work History

C

Company not specified

AI Data Trainer & Data Annotation Specialist Freelance / Remote 2023 – Present Annotate, label, review, and validate te

Location not specified
2023 - Present