🔘 British Citizen
📍England, United Kingdom
Education
Master of Arts in Sociology (Honors) – Christ Church College
• Bachelor of Arts in Sociology, Philosophy, and English Language – Christ Church College
• Diploma in Computer Studies – Cambridge University Syndicate
• Certified Web Programmer – National Institute of Information Technology
• Certification in UK General Insurance
Key skills & competencies
Gen AI & Machine Learning
• Prompt Engineering for LLMs
• Multimodal Annotation (Text, Audio, Video, Image)
• AI Hallucination Detection & Correction
• Dataset Validation & Model Testing
Data Science & Research
• Internet Research & Fact-Checking
• Transcript Creation & Linguistic Analysis
• Data Collection & Categorization
• Statistical Reporting
Technical Skills
• MS Office Suite (Word, Excel, PowerPoint)
• Web Programming (HTML, CSS, JavaScript basics)
• Digital Marketing Tools
Social Media & Digital Communication
• Social Media Analysis & Trend Monitoring
• Content Evaluation & Moderation
• Online Community Engagement
• Digital Campaign Support
Project & Workflow Management
• Multitask Project Handling (e.g., Multimago)
• Deadline Management
GEN AI SPECIALIST
RITI SETH
Objective
Motivated and detail-oriented Gen AI Specialist with a strong academic technical expertise in Computer Studies, Web Programming, and digital research. Experienced in prompt engineering, multimodal annotation, and AI hallucination detection for generative projects. Passionate about research, social analysis, and technology-driven solutions. Thrives in collaborative environments that encourage innovation and continuous learning.
Professional experience
Outlier - Gen AI Specialist (Prompt Engineering & Annotation)
• Designed and optimized prompts for large language models to improve accuracy and creativity
• Detected and corrected AI hallucinations across text, audio, and video outputs
• Contributed to multimodal projects integrating text, image, audio, and video annotation
RWS Moravia-Gen AI Annotation Specialist
• Annotated audio and video datasets for generative Gen AI projects ensuring precision in speech and visual labeling
• Supported the Multimago Project combining text, image, audio, and video inputs for multimodal Gen AI training
Appen Contributor
• Conducted long-term research and claims projects (Chittenden Project)
• Participated in large-scale data collection and transcription projects: Breakneck, Croton, Culp, Hormuz, Nebula, Sacandaga, Marina, Swatara, Newaukum, Pampanga
• Specialized in Gen AI annotation, ensuring accuracy and efficiency in training datasets
• Worked as a Social Media Analyst, monitoring trends, analyzing engagement, and providing insights for digital platforms
• Developed expertise in transcript creation, digital testing, and fact-checking initiatives
Activities and interests
• Former Licensed Zumba Instructor
• Member of the Conservative Party
• Enthusiastic about glass painting, hiking, travel,
drama, arts, and music
