Đạt Nguyễn Quang
@tnguynquang
I train AI models through English–Vietnamese annotation, translation, response evaluation, and quality-focused data labeling.
What I'm looking for
I've supported AI training programs with Welocalize, Outlier, Appen, and Translated, delivering English–Vietnamese annotation, translation, and model evaluation work.
At Welocalize, I label machine-learning data across varied tasks, research as needed, and assess language, style, cultural appropriateness, and geopolitical fit for target locales. I consistently follow task instructions, productivity standards, and quality requirements while reporting bugs and issues.
I've annotated 70,205 words with 100% on-time delivery, evaluated RLHF prompts and responses, ranked AI-generated outputs, assessed factual accuracy, and reviewed social-media ad relevance and misleading content.
Experience
Work history, roles, and key accomplishments
AI Language Trainer
Outlier
Jan 2024 - Present (2 years 7 months)
Working on various Vietnamese writing projects to train generative AI models. Ranking AI-generated responses, writing short stories, and assessing factual accuracy of AI-produced text.
Evaluate the relevance of social media ads by assessing their usefulness, appropriateness, and accuracy. Utilize an external platform to rate ads and identify misleading ones, sharing perspectives on ad preferences.
Translated project involving RLHF (Reinforcement Learning from Human Feedback). Evaluated prompts and responses from various topics to train AI.
Annotate data for machine learning purposes, including data labeling in target languages and performing research as needed. Determine appropriateness of language and style to cultural and geopolitical target locale.
Education
Degrees, certifications, and relevant coursework
Đạt hasn't added their education
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