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raj malviyaRM
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raj malviya

@rajmalviya

AI Data Trainer and Product Operations Lead focused on multimodal QA, transcription, and LLM evaluation.

India
Message

What I'm looking for

I’m looking for a role where I can lead high-quality multimodal AI data work—owning annotation quality, transcription accuracy, and QA/rubric compliance—while working independently in remote workflows to improve next-generation models.

I’m an analytical, detail-oriented AI Data Trainer and Product Operations Generalist specializing in Large Language Model (LLM) evaluation and high-quality multi-modal data annotation pipelines. I’ve worked across AI audio/video participation studies, focusing on strict task instructions, guideline compliance, and consistent quality outcomes.

My work spans Hindi and Hinglish transcription, speech-to-text transcription review, and language quality assurance, along with audio/video and image evaluation under trust & safety standards. I’m especially strong at detecting acoustic edge cases and visual noise or defect patterns, writing clear annotation rationales to support better model training and improve real-world AI interactions.

Experience

Work history, roles, and key accomplishments

ND
Current

Lead AI Data Trainer & Ops Gen

Neevo (Defined.ai)

Jan 2024 - Present (2 years 6 months)

Participated in AI audio/video participation studies by recording voice and video tasks under strict environmental constraints. Reviewed and labeled audio/video for Hindi/Hinglish transcription and performed image/content evaluation with emphasis on guideline compliance and digital safety.

PI
Current

Lead AI Data Trainer & Ops Gen

Pilo8.com

Jan 2024 - Present (2 years 6 months)

Participated in AI audio/video participation studies by recording voice and video tasks with strong environment and guideline compliance. Performed Hindi/Hinglish transcription and multi-modal image/audio/video quality evaluations, including acoustic edge-case and visual defect detection.

CL
Current

Lead AI Data Trainer & Ops Gen

Clickworker

Jan 2024 - Present (2 years 6 months)

Delivered high-volume AI training data by recording clear audio/video submissions and ensuring compliance with task instructions and environmental requirements. Conducted transcription and multi-modal QA, including acoustic edge-case and visual defect/noise identification.

UH
Current

Lead AI Data Trainer & Ops Gen

UHRS

Jan 2024 - Present (2 years 6 months)

Contributed to AI audio/video training and participation studies by completing recording and labeling tasks with strict adherence to project rubrics. Performed Hindi/Hinglish transcription and multi-modal content/image evaluation with a focus on acoustic edge cases and quality assurance.

ON
Current

Lead AI Data Trainer & Ops Gen

OneForma

Jan 2024 - Present (2 years 6 months)

Supported AI audio/video and transcription-related tasks by recording voice/video samples and ensuring quality through environment and lighting/visual checks. Conducted image evaluation and multi-modal QA, including detecting subtle visual inconsistencies and background noise interference.

CR
Current

Lead AI Data Trainer & Ops Gen

CrowdGen

Jan 2024 - Present (2 years 6 months)

Performed AI data training and operations activities involving audio/video participation studies and high-quality transcription/annotation. Conducted multi-modal quality assurance through guideline compliance, acoustic edge-case detection, and visual defect/noise identification.

TO
Current

Lead AI Data Trainer & Ops Gen

Toloka

Jan 2024 - Present (2 years 6 months)

Engaged in AI audio/video participation studies by recording clear voice/video tasks while maintaining strict environmental and instruction compliance. Reviewed/labeled audio/video for Hindi/Hinglish transcription and performed image evaluation and multi-modal QA with attention to acoustic edge cases and visual quality.

Education

Degrees, certifications, and relevant coursework

BE

Bachelor of Engineering (Mechanical Engineering)

Bachelor of Engineering, Mechanical Engineering

Leveraged quantitative logic and structured problem-solving frameworks essential for objective content review and analytical data labeling.

Tech stack

Software and tools used professionally

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