Jiten

Key Skills

Software

Telus

Appen

Top Subject Matter

Search relevance

web content quality

linguistic/user-intent evaluation for AI retrieval systems.

Top Data Types

Text

Computer Code Programming

Document

Top Task Types

RLHF

Entity (NER) Classification

Freelancer Overview

Search Engine Evaluator – TELUS AI (Search relevance and content rating).. Brings 19+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus and Appen. Education includes Bachelor of Business Management, N/A. AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Translation.

Labeling Experience

Search Engine Evaluator – TELUS AI (Search relevance and content rating).

TelusText

Evaluated search engine results pages and online content by applying client-specific relevance, accuracy, quality, and user-intent rating guidelines. Analyzed webpages, advertisements, and search queries to judge usefulness, credibility, and overall user experience. Provided consistent quality ratings to support improvements in search algorithms and AI-driven information retrieval systems. • Rated relevance and accuracy of content against rubric criteria. • Assessed credibility, usefulness, and user intent. • Performed guideline-adherent quality checks in independent remote workflows. • Maintained high accuracy and productivity while meeting deadlines.

2022 - 2026

Translator and Linguistic Evaluator - Appen

AppenRLHFEntity (NER) Classification

Produced high-quality Hindi-English and English-Hindi translations with attention to linguistic accuracy and cultural appropriateness. Evaluated and rated machine-generated translations for fluency, grammar, semantic accuracy, and overall readability against defined quality standards. Performed linguistic annotation, validation, and quality assurance tasks to support natural language processing development while meeting delivery targets. • Conducted translation work with contextual and cultural sensitivity • Performed quality evaluation and rating of translation outputs • Supported linguistic annotation, validation, and QA processes • Followed project guidelines, benchmarks, and productivity targets

2018 - 2022

Translator & Linguistic Evaluator – APPEN (translation, MT evaluation, and linguistic QA).

AppenText

Performed Hindi-English and English-Hindi translation and ensured linguistic accuracy, contextual relevance, and cultural appropriateness. Evaluated and rated machine-generated translations against established quality standards including fluency, grammar, semantic accuracy, and readability. Conducted linguistic annotation, validation, and quality assurance tasks to support NLP system development. • Produced bilingual translation content with cultural/contextual correctness. • Rated MT output quality for grammar, fluency, and semantic accuracy. • Performed annotation and validation for NLP dataset quality. • Followed project guidelines and met accuracy and productivity targets.

2018 - 2022

Education

Work History