Marian Adeyemo
I’m Marian Adeyemoai, an application support and customer support professional with 10+ years of experience helping end users, resolving issues, and improving processes in fast-paced environments.
About
I’m Marian Adeyemoai, an application support and customer support professional with 10+ years of experience helping end users, resolving issues, and improving processes in fast-paced environments. I also work as an independent AI trainer and data annotator, building high-quality prompt-response and labeled datasets that strengthen LLM reasoning, accuracy, and alignment.
I enjoy connecting with people—whether onboarding clients, gathering feedback to drive better service, or collaborating on research and consulting work. From incident reporting and troubleshooting to transcription, fact-checking, and careful data labeling, I’m detail-focused and consistent, with a strong commitment to safety, quality, and clear documentation.
- 13 years' experience
- Joined September 2026
Skills· 7
Languages
- EnglishAdvanced
Industry experience
- Financial Services
- Education
- Media & Entertainment
- Professional Services
- Software & Internet
- Other
Work experience· 7 roles
Support instruction-tuning and reinforcement learning workflows to improve LLM reasoning, accuracy, and alignment. Create and refine prompt-response datasets for summarization, structured thinking, and conversational quality. Conduct multi-label data annotation, sentiment classification, and error analysis across technical and safety-related content.
Acted as the strategic bridge between the service provider and business clients or internal departments. Managed client onboarding and full account lifecycle support. Drove revenue growth and product sales across an assigned client portfolio. Delivered customer retention initiatives and ongoing customer care support. Gathered and relayed client feedback to inform service and process improvements.
Support instruction-tuning and reinforcement learning workflows to improve LLM reasoning, accuracy, and alignment. Create and refine prompt-response datasets for summarization, structured thinking, and conversational quality. Conduct multi-label data annotation, sentiment classification, and error analysis across technical and safety-related content.
Education· 21
Certifications and awards
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