Martin Ngigi

Detail-oriented AI Training Specialist with 5+ years of hands-on experience in data annotation, transcription, and model evaluation across image, voice, and video datasets. Proven track record of improving AI model accuracy by up to 25% through precise labeling, quality assurance, and iterative feedback. Combines deep expertise in audio/video transcription with strong IT infrastructure knowledge (CCNA-certified) and programming skills in Python, JavaScript, and SQL to bridge the gap between raw data and high-performance machine learning models.

Adept at using annotation tools, bug-tracking platforms, and collaborative workflows to deliver clean, actionable training data at scale. Passionate about enabling AI systems to understand human language, visual context, and acoustic nuance with greater fidelity.

AI Data Annotation Specialist (Editor – Emotions, Transcriber, Editor) - Parker Corporation LP - Remote

(2018-12)

Verified Employment (Certificate available upon request)

• Specialized in emotional tone labeling for voice and video datasets, identifying and tagging nuanced human emotions (joy, anger, sadness, fear, surprise, neutrality) to train affective AI models for customer service, healthcare, and entertainment applications.
• Applied contextual understanding to distinguish between subtle emotional cues, improving model sentiment accuracy by 25% for major NLP clients.
• Transcribed and edited thousands of hours of multi-speaker audio and video content with 98%–100% accuracy, ensuring clean, time-stamped datasets for speech-to-text AI models.
• Worked extensively with Rev and GoTranscript platforms - maintaining top-performer status on GoTranscript with consistent 98%–100% accuracy ratings.
• Performed speaker diarization, noise tagging, and pronunciation verification to enhance model performance in real-world acoustic environments.
• Utilized Python scripts to automate basic audio file preprocessing and format conversion, streamlining transcription workflows.
• Performed frame-by-frame video annotation for object detection, action recognition, and scene segmentation — supporting computer vision projects in autonomous driving, retail analytics, and security surveillance.
• Annotated 50,000+ images using bounding boxes, polygons, and semantic segmentation, maintaining 98% inter-annotator agreement through rigorous QA checks.
• Leveraged Python and SQL to validate annotation consistency and export datasets in JSON, COCO, and YOLO formats for model training.
• Created and refined annotation style guides and QA workflows, reducing rework rates by 30% and accelerating project turnaround for international AI startups.
• Provided structured feedback to development teams on annotation tool usability and edge cases, contributing to more robust AI model training.
• Developed basic JavaScript-based quality check scripts to identify annotation errors and inconsistencies in large datasets.

Freelance Remote Software Tester & AI Trainer - Self-Employed - Remote

(2020)

• Leveraged Testbirds and Remotasks platforms to execute functional, usability, and regression testing on 50+ software applications, identifying edge cases that improved model robustness before deployment.
• Performed diverse annotation tasks on Remotasks, including 2D/3D bounding boxes, polygon segmentation, and lidar point cloud labeling for computer vision models.
• Provided structured bug reports and user experience feedback to development teams, contributing to higher-quality releases.
• Conducted data curation and annotation for additional AI training projects outside primary employment.
• Used Python to parse and clean annotation data, ensuring dataset integrity before delivery to clients.

IT Support Consultant (Part time) - Elen Printers and Cyber

(2017-04)

• Hardware/software installations and network troubleshooting for 100+ clients, including setup of audio/video conferencing tools and media workstations.
• Streamlined sales record-keeping, reducing discrepancies by 30% — with a focus on digitizing and organizing multimedia assets.

IT Support Technician (Apprenticeship) - Kathangariri Tea Factory - Embu

(2017-10 - 2018-01)

• Configured and maintained factory management systems, ensuring 99% uptime for critical data collection from field PDAs — including real-time video/imaging data used for crop quality analysis.
• Installed and secured LAN infrastructure, enabling seamless transfer of large media files across departments.
• Trained 15+ staff on IT best practices, reducing recurring support requests by 40%.

IT Consultant (Contract) - Netsec Engineering

(2018-01 - 2018-01)

• Upgraded IT systems for 5+ clients, including CCTV installation (video surveillance) and cybersecurity audits — requiring precise configuration of video recording and storage systems.
• Mitigated malware threats across client networks, minimizing downtime by 50% and ensuring integrity of stored audio/video data.

Bachelor - Information Technology - Jomo Kenyatta University of Agriculture and Technology (2018)

Cisco Certified Network Associate (CCNA) - Networking - JKUAT (2015)