
RAJESH vadla
@rajeshvadla
I review AI training data and LLM outputs to improve safety, consistency, and data quality.
What I'm looking for
At Randstad supporting NVIDIA, I reviewed and annotated text, image, video, and other AI training data against project policies and quality standards. I also evaluated AI/LLM responses for instruction following, safety, refusal behavior, disclaimers, appropriateness, and rubric alignment.
I strengthen dataset quality through annotation QA, video object tracking, 2D/3D annotation, privacy and PII labeling, calibration, and escalation of ambiguous cases. I bring evidence-based decision-making, careful policy adherence, and clear English communication to high-volume, changing workflows.
Experience
Work history, roles, and key accomplishments
Data Annotation / AI Quality Analyst
Randstad
Jun 2021 - Dec 2024 (3 years 6 months)
Reviewed and annotated text, image, video, and other AI training data according to project-specific instructions, policies, and quality standards. Performed annotation QA to identify incorrect labels, missing annotations, inconsistent classifications, boundary errors, ID switches, and other defects.
Education
Degrees, certifications, and relevant coursework
Jaya Prakash Narayana College of Engineering
Bachelor of Technology, Electronics and Communication Engineering
Completed Bachelor of Technology in Electronics and Communication Engineering in 2019.
New ton's Institute of Engineering
Diploma, Electronics and Communication Engineering
Completed Diploma in Electronics and Communication Engineering in 2015.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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