Data Quality Specialist
Summary
I am a Quality Assurance and AI Data Specialist with over 4 years of experience supporting computer vision and AI training data projects. At Infinity Global Solutions, I worked on large-scale retail image annotation projects, where I labeled and reviewed product data from international markets including Japan, China, and the United States. My responsibilities included product identification, image annotation, quality checking, error correction, following detailed guidelines, and maintaining high data accuracy standards.
Through this experience, I developed strong skills in data quality assurance, visual data analysis, guideline interpretation, and working with structured datasets. I have experience handling repetitive, accuracy-focused tasks while meeting productivity targets and collaborating with teams to resolve unclear cases and improve overall data quality.
In addition to AI data work, I have experience in EnglishBurmese language services, including translation, localization training with Trados Studio, and transcription-related tasks. My combination of language ability, attention to detail, and AI data experience allows me to contribute effectively to projects involving AI evaluation, data annotation, language quality, and machine learning improvement.
I hold a Bachelor of Science in Mathematics and enjoy learning new technologies and applying analytical thinking to solve quality and data-related challenges.
Expectations
I am looking for a role where I can apply my experience in data quality, annotation, and language-related tasks while continuing to develop my skills in artificial intelligence and emerging technologies. I value opportunities to contribute to meaningful projects, work with clear guidelines and quality standards, and collaborate with a professional global team.
I am also interested in a position that provides opportunities for continuous learning, skill development, and career growth while allowing me to deliver accurate, reliable, and high-quality work.
Employment Preferences
Expected Base Salary
**,000 USD
Expected Total Compensation
**,000 USD
Expected Hourly Rate
** USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
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