NAVEEN SINGH
@naveensingh3
I evaluate LLM outputs and deliver high-accuracy multimodal training data for safe AI systems.
What I'm looking for
I've delivered high-accuracy training data for LLM, computer vision, and NLP projects at INNODATA INC and TELUS Digital, maintaining 97%+ annotation accuracy across image, text, and video.
At INNODATA, I evaluate LLM outputs through RLHF-aligned preference ranking and qualitative feedback, moderate sensitive UGC, and run QA checks that improve dataset consistency. I also write annotation guidelines and SOPs to standardize edge-case decisions and strengthen inter-annotator agreement.
Across 10,000+ hours of labelled production training data, I've supported safe, reliable AI through prompt annotation, policy enforcement, and multilingual English and Hindi annotation.
Experience
Work history, roles, and key accomplishments
Annotated and evaluated LLM outputs using RLHF-aligned frameworks, providing preference rankings and qualitative feedback to improve model safety, tone, and response quality. Performed image, video, and text annotation for AI/ML training datasets with 97%+ accuracy and strict guideline compliance across computer vision and NLP pipelines.
Annotated images, text, and video assets for machine learning model training across computer vision and NLP projects using Labelbox, Darwin V7, and custom platforms. Maintained dataset quality through policy-based content review, moderation checks, and systematic IAA calibration sessions.
Education
Degrees, certifications, and relevant coursework
Maharishi Dayanand University
Bachelor of Business Management, Business Management
Pursued a Bachelor of Business Management degree, gaining foundational knowledge in business administration and management principles.
Availability
Location
Authorized to work in
Job categories
Skills
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