
MARTIN WESONGA
@martinwesonga
AI Evaluation Specialist at DataAnnotation who evaluated 2,000+ model outputs and tested reasoning edge cases.
What I'm looking for
At DataAnnotation, I evaluate AI model outputs for logical consistency, accuracy, and adherence to complex, multi-turn guidelines. I've assessed over 2,000 outputs and authored test prompts to probe reasoning limits and uncover edge-case failures.
At NCR Corporation, I audited technical documentation and transaction datasets, maintaining 99.5% output accuracy across enterprise applications. I also created step-by-step guidelines for quality control analysts and outsourced training teams.
At The Home Depot Headquarters, I reviewed vendor system submissions and digital inventory logs against enterprise compliance guidelines. I earned a B.S. in Information Technology from Emory University, and I thrive in flexible, independent, asynchronous roles shaping AI tools while maintaining rigorous quality standards.
Experience
Work history, roles, and key accomplishments
Senior AI Evaluation Specialist
DataAnnotation
Nov 2022 - Present (4 years)
Evaluated over 2,000 AI model outputs for logical consistency, accuracy, and adherence to complex multi-turn guidelines. Authored customized test prompts to challenge model reasoning limits and uncover edge-case failures.
Audited complex technical documentation and transaction datasets to maintain 99.5% output accuracy across enterprise applications. Worked asynchronously with cross-functional US software teams to resolve dataset inconsistencies and improve verification workflows.
Reviewed vendor system submissions and digital inventory logs with strict adherence to enterprise compliance guidelines. Identified root causes of recurring data entry errors and recommended procedural adjustments to team leaders.
Education
Degrees, certifications, and relevant coursework
Emory University
Bachelor of Science, Information Technology
Earned a Bachelor of Science in Information Technology, completing core coursework in Data Structures, Database Systems, Software Engineering, and Technical Writing.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
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