Thorny Lusweti
@thornylusweti
I improve AI training quality through precise output review, annotation, and structured feedback.
What I'm looking for
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
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.
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.
Conducted comprehensive evaluations of user-generated content to ensure adherence to established policies. Provided clear and actionable feedback to improve content quality and compliance, and maintained meticulous records of review processes.
Education
Degrees, certifications, and relevant coursework
American University
Bachelor of Arts, English
Bachelor of Arts in English from American University, completed in 2019.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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