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Yash Raj Singh

Yash Raj Singh

Scoring Rubric Designer for AI Training Tasks

United Kingdom flagLondon, United Kingdom
$18.00/hrEntry LevelScale AI

Key Skills

Software

Scale AIScale AI

Top Subject Matter

AI Training Data Evaluation
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
DocumentDocument

Top Task Types

Entity (NER) ClassificationEntity (NER) Classification
Object DetectionObject Detection
Text GenerationText Generation
RLHFRLHF
Data CollectionData Collection

Freelancer Overview

Scoring Rubric Designer for AI Training Tasks. Brings 4+ years of professional experience across tech operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, Queen Mary University of London (2024) and Bachelor of Technology, JSSATE (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Entry LevelEnglishHindi

Labeling Experience

Scoring Rubric Designer for AI Training Tasks

Text
I designed scoring rubrics for AI training tasks focused on ensuring consistency and accuracy across annotated datasets. My primary responsibility was to evaluate and rate AI-generated outputs according to these rubrics, providing structured feedback to improve model performance. This work enhanced the reliability of AI-generated results across multiple datasets. • Developed highly-detailed, standardized rubrics for annotator guidance. • Conducted rigorous evaluation of AI outputs to identify errors and inconsistencies. • Provided structured feedback to data annotators and model trainers. • Collaborated with cross-functional teams to refine evaluation criteria.

I designed scoring rubrics for AI training tasks focused on ensuring consistency and accuracy across annotated datasets. My primary responsibility was to evaluate and rate AI-generated outputs according to these rubrics, providing structured feedback to improve model performance. This work enhanced the reliability of AI-generated results across multiple datasets. • Developed highly-detailed, standardized rubrics for annotator guidance. • Conducted rigorous evaluation of AI outputs to identify errors and inconsistencies. • Provided structured feedback to data annotators and model trainers. • Collaborated with cross-functional teams to refine evaluation criteria.

2025 - Present

Education

Q

Queen Mary University of London

Master of Science, Computer Science

Master of Science
2023 - 2024
J

JSSATE

Bachelor of Technology, Information Technology

Bachelor of Technology
2018 - 2022

Work History

G

Gold’s Gym

Customer Analyst

London
2024 - 2025
I

Indiamart

Software Engineer (Big Data)

Delhi
2022 - 2023