Ram Kumar Soni

AI Researcher

Guna, Madhya Pradesh, India0 mo experience

AI Enabled

Key Highlights

Achieved 96%+ QA accuracy in data annotation.
Led high-volume annotation projects for autonomous driving.
Trained on QA standards and large-scale workflows.

Stackforce AI infers this person is a Data Annotation Specialist in the Autonomous Driving and AI Training industry.

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Skills

Core Skills

Data AnnotationAutonomous Driving DatasetsData Quality ControlAi Training Data

Other Skills

Error Detection & CorrectionData Quality AssuranceMicrosoft ExcelData HandlingComputer FundamentalsMicrosoft OfficeBasic Data ProcessingQA ComplianceHigh-Volume Data ProcessingProcess AdherenceAutonomous VehiclesAttention to DetailError DetectionData ProcessingContent Moderation

About

I am a Data Annotation professional with hands-on experience in autonomous driving and AI training datasets, having completed a 1-year apprenticeship with NVIDIA Graphics Private Limited. I have worked on high-volume traffic sign and signal annotation projects, consistently maintaining 96%+ QA accuracy by strictly following labeling guidelines and quality standards. My work focused on frame-level annotation, error detection, edge case handling, and improving dataset consistency through collaboration with QA auditors. I am comfortable working in large-scale, target-driven AI workflows and adapting quickly to evolving project requirements. My core strengths include attention to detail, process adherence, and maintaining high accuracy under production pressure. Currently open to opportunities in Data Annotation, AI Data Operations, and Data Quality roles where precision and quality are critical.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Randstad digital india

Data Labeller – Autonomous Driving Project

Dec 2025 – Feb 2026 · 2 mos · Guna, Madhya Pradesh, India · Remote

Led high-volume traffic sign and signal annotation for autonomous driving datasets.
Maintained ≥96% QA accuracy by strictly following labeling guidelines.
Reduced rework by proactively identifying and correcting labeling inconsistencies.
Coordinated with QA auditors to resolve edge cases and improve annotation consistency.

Data Quality ControlError Detection & CorrectionData AnnotationAutonomous Driving Datasets

Nvidia

Data Annotator - Apprentice

Dec 2024 – Dec 2025 · 1 yr · Guna, Madhya Pradesh, India · Remote

Executed frame-level annotation of traffic signs and signals for AI training datasets.
Trained on QA standards and large-scale dataset workflows.
Improved accuracy through continuous feedback from auditors.
Adapted to evolving project guidelines and annotation tools.

Data AnnotationData Quality AssuranceAI Training Data