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Devraj Singh

Devraj Singh

Vetted Senior Data Expert specializing in RLHF for frontier LLMs and high-precision Computer Vision for autonomous systems. Proven 99% accuracy at Outlier through March 2026.

India flagMysuru, India
$25.00/hrExpertScale AIRoboflowLabelbox

Key Skills

Software

Scale AIScale AI
RoboflowRoboflow
LabelboxLabelbox
CVATCVAT

Top Subject Matter

Technology & Generative AI
Finance & BFSI
Healthcare & Life Sciences

Top Data Types

VideoVideo
Computer Code ProgrammingComputer Code Programming
TextText

Top Task Types

Bounding BoxBounding Box
TranscriptionTranscription
Computer Programming/CodingComputer Programming/Coding
Fine-tuningFine-tuning

Freelancer Overview

As a dedicated Data Labeling Expert with 3 years of experience, I specialize in producing high-quality datasets that bridge the gap between raw information and sophisticated AI models. I have a proven track record in both Computer Vision and Natural Language Processing, having completed over 100,000 annotations across platforms like Label box and Scale AI. My expertise includes complex 2D/3D bounding boxes, semantic segmentation, and specialized RLHF (Reinforcement Learning from Human Feedback), where I rank and refine LLM outputs for safety, accuracy, and tone. What sets me apart is my technical precision and my commitment to 98%+ accuracy even under tight deadlines. I excel at interpreting evolving guidelines and providing feedback to ML engineers to reduce edge-case ambiguity. Having worked on projects ranging from autonomous vehicle navigation to medical image tagging, I understand that the quality of the model is only as good as the data I provide. I am ready to bring this meticulous, results-driven approach to the Open Train AI team.

ExpertEnglishHindi

Labeling Experience

Senior Data Annotator

VideoBounding Box
Lead labeling efforts for a Computer Vision project involving 50,000+ frames of autonomous driving data, utilizing 2D/3D bounding boxes and polyline annotation. Consistently achieved a 99% quality score in weekly audits, surpassing the team average of 95%. Collaborated with ML Engineers to refine annotation guidelines, reducing labeling ambiguity and increasing team throughput by 15%. Performed Quality Assurance (QA) on peer-labeled data, identifying and correcting systematic errors in object classification.

Lead labeling efforts for a Computer Vision project involving 50,000+ frames of autonomous driving data, utilizing 2D/3D bounding boxes and polyline annotation. Consistently achieved a 99% quality score in weekly audits, surpassing the team average of 95%. Collaborated with ML Engineers to refine annotation guidelines, reducing labeling ambiguity and increasing team throughput by 15%. Performed Quality Assurance (QA) on peer-labeled data, identifying and correcting systematic errors in object classification.

2024 - 2026

Education

N

NIE mysuru

Infromation Science and Engineering , Data Engineering

Infromation Science and Engineering
2022 - 2026

Work History

O

Outlier

Data Labeling Expert

Mysuru
2024 - 2026