
Manvendra Singh
@manvendrasingh7
AI Data Annotator focused on multimodal AI evaluation, reviewing visual annotations and checking landmark placement against task guidelines.
What I'm looking for
In project-based AI Data Annotation & Quality Review, I reviewed visual annotations for missing landmarks, incorrect keypoint placement, and inconsistencies with task instructions. I also checked 3D hand annotation quality and documented specific errors.
I applied task guidelines and quality criteria to assess annotation accuracy, identify work requiring correction, and write clear, actionable feedback. My review work includes visual inspection, landmark verification, and documenting findings against stated criteria.
Through independent AI output evaluation projects, I practiced comparing generated content with prompts for relevance, accuracy, and instruction alignment. I'm interested in multimodal AI assessment, including side-by-side comparison, visual artifact detection, and temporal consistency.
Experience
Work history, roles, and key accomplishments
AI Data Annotation & Quality Review
Project-Based Work
Reviewed visual annotations for missing landmarks, incorrect keypoint placement, alignment issues, and inconsistencies with task instructions. Checked 3D hand annotation quality and documented specific errors to support consistent review decisions.
Independent AI Output Evaluation
Personal Projects
Practiced comparing AI-generated outputs against prompts and evaluation criteria for relevance, accuracy, and instruction alignment. Used a structured review approach to identify visual inconsistencies and prepare concise, evidence-based evaluation notes.
Education
Degrees, certifications, and relevant coursework
Jaipur National University
Bachelor of Technology, Technology
Pursued a Bachelor of Technology (B.Tech) degree at Jaipur National University, Jaipur.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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