Wendy Mukombwe
@wendymukombwe
Detail-oriented professional with expertise in legal and AI processes.
What I'm looking for
I am a detail-oriented professional with a unique blend of legal theory and practical experience, complemented by a strong foundation in psychology. My journey has led me to focus on the intersection of law and technology, particularly in the realm of artificial intelligence. I am passionate about leveraging my skills in data handling and ethical considerations to contribute to transformative AI model training and human-in-the-loop operations.
Throughout my career, I have held various roles that have honed my abilities in legal research, data annotation, and AI evaluation. As a Legal Assistant at the Woman's Lawyers Association, I provided legal advice and drafted court documents, while my role as an AI Specialist at Appen allowed me to develop structured data environments and ensure compliance with industry standards. My recent position as a Data Annotator at Mindrift further solidified my commitment to ethical practices in AI, where I collaborated with cross-functional teams to deliver high-quality insights.
Experience
Work history, roles, and key accomplishments
Data Annotator
Mindrift
Jan 2023 - Present (2 years 4 months)
Conducted detailed legal research and analysis, providing actionable insights on complex issues. Managed data annotation and quality assurance tasks, collaborating with cross-functional teams to ensure adherence to ethical standards.
Legal Assistant
Woman's Lawyers Association
Apr 2021 - Present (4 years 1 month)
Provided legal advice to clients and attended stakeholder and partner meetings. Drafted court documents and reports, and conducted court monitoring sessions.
AI Specialist
Appen
Jan 2021 - Present (4 years 4 months)
Developed and maintained structured data environments for diverse applications. Assisted in the evaluation and optimization of systems and processes, while providing legal and ethical guidance to ensure compliance.
AI Quality Analyst
Lionbridge
Jan 2020 - Present (5 years 4 months)
Evaluated AI models for accuracy and effectiveness, ensuring high-quality output. Assisted in the development and refinement of multilingual datasets to support diverse AI applications.
Education
Degrees, certifications, and relevant coursework
Coursera
Certificate, Machine Learning
Completed a comprehensive course on machine learning, gaining foundational knowledge in algorithms and model training.
She Codes
Certificate, Computer Programming
Undertook a program focused on computer programming, developing skills in various programming languages and software development principles.
Udacity
Certificate, Data Annotation and Labeling
Completed training in data annotation and labeling, learning techniques for preparing data for machine learning models.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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