Brigget H.

Key Skills

Software

AWS SageMaker

Appen

Axiom AI

Clickworker

Datatroniq

Data Annotation Tech

Datature

Dataturk

CVAT

Google Cloud Vertex AI

Lionbridge

Label Studio

OneForma

Redbrick AI

Mindrift

Mighty AI

Micro1

Top Subject Matter

HEALTH CARE

FINANCE

CODING

Top Data Types

Image

Document

Computer Code Programming

Top Task Types

Bounding Box

Classification

Entity (NER) Classification

Text Generation

Text Summarization

RLHF

Evaluation/Rating

Computer Programming/Coding

Transcription

Data Collection

Prompt + Response Writing (SFT)

Object Detection

Segmentation

Freelancer Overview

Over the past 7 years, I have built deep expertise in data labeling and AI training data as part of my work supporting machine learning and NLP platform documentation at AfriCloud Technologies, DataNile Solutions, and beyond. I have worked closely with ML engineers and data teams on projects involving text annotation, image classification, audio transcription, and sentiment labeling — gaining hands-on familiarity with platforms such as Labelbox, Scale AI, Appen, Aether, and CVAT. My documentation work on training, inference, and fine-tuning workflows gave me a thorough understanding of the full AI data pipeline, from raw data collection and annotation guidelines through to model evaluation and iteration. What sets me apart is my ability to bridge the gap between technical data teams and end users — translating complex labeling schemas, inter-annotator agreement standards, and quality benchmarks into clear, actionable workflows. I have contributed to AI training data projects across conversational AI, computer vision, and financial NLP use cases, consistently delivering annotation guidelines and contributor-facing documentation that improved labeling accuracy and reduced rework. Combined with my experience in prompt engineering and AI-assisted authoring tools, I bring both a practitioner's perspective and a communicator's precision to every AI training data engagement

Labeling Experience

Senior Technical Writer

Medical DicomPrompt + Response Writing (SFT)

Lead documentation for a Kubernetes-based cloud platform serving 300+ enterprise clients across East and West Africa, covering conceptual overviews, REST API references, and administrator guides. • Built a docs-as-code pipeline using GitHub Actions, Docusaurus, and Vale linter, cutting broken-link incidents by 55% and reducing review turnaround from 6 days to 2 days. • Partnered with ML engineers to author training, inference, and fine-tuning guides for an AI analytics product, resulting in a 38% reduction in related support tickets within 60 days of launch. • Established a peer-review and style-guide framework adopted across a 4-person writing team, raising content consistency scores from 65% to 93% in quarterly audits. • Implemented documentation analytics using Google Analytics and a custom dashboard to identify high-bounce pages and prioritise content improvements, increasing average session duration by 32

2022 - 2024

Education

Work History