James Kwasi Boamah

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Freelancer Overview

I am a detail-oriented Generative AI operations specialist with hands-on experience in AI data labeling, annotation, and quality assurance for machine learning and generative AI projects. My background includes large-scale data collection, annotation, and validation for speech and audio-based AI models, as well as extensive work with structured guidelines and evolving requirements in fast-paced, remote environments. I excel at ensuring data accuracy and consistency, identifying edge cases, and supporting feedback loops to improve dataset quality. I am skilled in using annotation and review platforms, documentation tools, and collaboration platforms for distributed teams. My certifications in project management and generative AI, combined with a proven ability to manage multiple task streams and optimize processes, enable me to deliver high-quality training data and support continuous improvement in AI workflows.

Labeling Experience

Data Annotation

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Annotated image and video data for robotics and autonomous systems, supporting computer vision tasks such as object detection, segmentation, tracking, and human pose estimation. Worked on medium-scale datasets using detailed guidelines, with multi-level quality checks, consistency validation, and accuracy benchmarks to ensure reliable training data for production AI models.

Annotated image and video data for robotics and autonomous systems, supporting computer vision tasks such as object detection, segmentation, tracking, and human pose estimation. Worked on medium-scale datasets using detailed guidelines, with multi-level quality checks, consistency validation, and accuracy benchmarks to ensure reliable training data for production AI models.

2025 - 2025

Education

Work History