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Thorny LuswetiTL
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Thorny Lusweti

@thornylusweti

I improve AI training quality through precise output review, annotation, and structured feedback.

United States
Message

What I'm looking for

I'm looking to improve AI model performance through output review, data annotation, quality assurance, and structured feedback on large-scale projects.

I've reviewed, annotated, and evaluated AI outputs across large-scale projects, focusing on accuracy, consistency, and adherence to detailed guidelines.

At Appen, I identified edge cases and subtle errors in AI outputs, delivered structured feedback, and flagged ambiguous cases to support stronger AI training quality and process improvement.

At Lionbridge Technologies, I completed complex rubric-based data annotation work and collaborated with quality assurance teams to maintain strict standards. I also helped refine annotation guidelines to improve efficiency and accuracy.

Earlier at Telia Company, I evaluated user-generated content against established policies, provided actionable feedback, and maintained detailed review records to support continuous improvement.

Experience

Work history, roles, and key accomplishments

Appen AB logoAA

Content Reviewer / AI Evaluator

Jan 2021 - Dec 2022 (1 year 11 months)

Reviewed and annotated AI outputs, ensuring alignment with stringent guidelines and maintaining high accuracy and consistency. Identified edge cases and subtle errors, providing structured feedback to enhance AI training quality.

LT

Data Annotation Specialist

Jun 2019 - Dec 2020 (1 year 6 months)

Executed large-scale annotation projects, ensuring adherence to complex, multi-step rubrics. Collaborated with quality assurance teams to maintain strict quality standards and assisted in refining annotation guidelines.

Education

Degrees, certifications, and relevant coursework

American University logoAU

American University

Bachelor of Arts, English

Bachelor of Arts in English from American University, completed in 2019.

Tech stack

Software and tools used professionally

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