Large Variety of Tasks, Project
Object Masking, Bounding Boxes, pixel correction, multi-turn conversations, phone conversations
Hire this AI Trainer
Sign in or create an account to invite AI Trainers to your job.
Artificial Intelligence LLM Trainer (Ad Rater/Reviewer) | Appen LTD & RWS (2023–2026). Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, N, and A. Education includes Master of Library and Information Science, University of North Texas (2021) and Bachelor of Science, West Texas A&M University (1999). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Translation.
Object Masking, Bounding Boxes, pixel correction, multi-turn conversations, phone conversations
Worked as an AI LLM Trainer and performed evaluation and rating tasks as part of large language model data collection and quality assessment. Participated in multi-modal LLM-related labeling and ensured work met predefined performance targets. Contributed to iterative product improvements through hands-on testing and issue remediation. • Promoted from Ad Rater to Reviewer on multiple projects • Consistently met and exceeded RPH targets • Performed product testing, reporting, and bug fixing • Completed Spanish to English translation for dataset needs
Provided English as a Second Language instruction to students whose primary language was Spanish or an indigenous dialect. Supported language acquisition by preparing learners for standardized English assessments. Although this was teaching-focused rather than dataset labeling, it involved structured language work aligned with translation/localization outcomes. • Taught 27 immigrant middle school students speaking Spanish or an indigenous dialect • Prepared all students to pass year-end English assessments • Supported annual advancement through targeted instruction • Delivered linguistically focused learning activities
Taught remedial English literature and writing with a focus on improving student outcomes in foundational coursework. Facilitated assessment-driven instruction to help learners achieve passing results on their first attempt. Continued support helped students transition successfully into subsequent college-level freshman English. • Ensured every student passed the remedial course on the first attempt • Supported subsequent success in Freshman English college courses • Delivered structured writing and literature instruction • Used outcome-focused instructional adjustments
Master of Library and Information Science, Library and Information Science
Bachelor of Science, Sociology
English as a Second Language Teacher
Remedial English Literature and Writing Instructor