Manshi Ramtel
I have over five years of experience in the AI data annotation where I developed a comprehensive skillset ranging from high-volume data annotation to complex Generative AI alignment. My work as a Data Specialist honed my expertise in maintaining rigorous quality standards, while my recent role as Generalist AI Trainer deepened my proficiency in RLHF, output ranking, and detecting technical artifacts to ensure LLM alignment. Apart from technical skills, I have actively contributed to fostering in
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About
IT graduate with 4+ years of experience in data specialization in annotation and program coordination. I have honed my skills through various roles as Data Specialist/AI Trainer including internships focused on leadership. My interests lie at the intersection of data and business, where I strive to leverage data-driven insights to drive strategic decisions.
Experience
Generalist AI Trainer at Abaka AI (2025-11 – Present)
- Evaluated generative AI images against detailed criteria checking for anatomical consistency, technical artifacts, and visual coherence while performing RLHF preference ranking and writing clear rationales, justifications to support model alignment.
- Identified and flagged guideline violations, inconsistencies, and quality issues in AI outputs, documenting findings with structured justifications to help refine LLM performance and improve overall output quality.
Data Specialist at CloudFactory (2021-07 – Present)
- I worked across multiple high-stake projects including drone imagery, 3D spatial data, construction monitoring, and expense document processing labeling and annotating images, video, audio, and text according to strict project guidelines while maintaining high quality accuracy and consistency.
- I switched seamlessly between different project requirements and annotation tools, learning new guidelines rapidly and adapting to diverse data types to deliver clean, reliable training data for AI models.
- Collaborated with the project team to identify and resolve data-related challenges, providing valuable feedback for improving annotation processes and workflows.
Executive Leadership Team (Volunteer) at Girls in STEM (2023-11 – 2025-08)
- Collaborate with the Executive Leadership Team to develop and implement innovative marketing and communication strategies, resulting in increased awareness and engagement among target audiences.
- Conducted research and analysis to support strategic decision-making and program development, providing valuable, insights and recommendations for enhancing Girls in STEM initiatives.
Program Coordinator at Deerwalk (2023-08 – 2024-02)
- Coordinate program activities: Plan, organize and execute all aspects of assigned program to ensure efficient and effective implementation.
IEUK Tech Intern at Bright Network (2023-06 – 2023-06)
- Participated with team members to develop and implement innovative technological solutions to business problems assigned by Lloyds Banking Group and execute analytical workflows.
Education
B.Sc. (Hons) in Computing in Advanced Software Engineering, AI/ML, Data Analysis – The British College, Kathmandu (2017 – 2022)
