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Kushal Jaiswal

@kushaljaiswal

I’m an AI Trainer and LLM Evaluator focused on high-quality localization QA.

India
Message

What I'm looking for

I’m looking for work where I can evaluate and improve LLM quality through rubric-based SBS and localization QA—using clear severity/category/root-cause feedback, consistency checks, and calibration to help teams build safer, more accurate models.

I’m a Hindi-English bilingual AI Trainer and LLM Evaluator specializing in RLHF workflows, SBS response evaluation, and guideline-based quality decisions. In contract work with Outlier AI (Scale AI), I evaluated and ranked 1,000+ AI-generated responses using structured SBS comparisons across reasoning, factuality, instruction-following, tone, and safety—maintaining a 4.8/5 quality score.

I bring a MQM/LQA-style approach to severity, category, and root-cause notes, plus fluency/adequacy/terminology and cultural fit checks for Hindi-English outputs. I also document recurring failure patterns (hallucination, factual drift, over-hedging, instruction misinterpretation) and contribute to clearer, calibration-ready feedback for model improvement.

Experience

Work history, roles, and key accomplishments

Outlier AI (Scale AI) logoOA
Current

AI Trainer / LLM Evaluator

Jan 2024 - Present (2 years 6 months)

Evaluated and ranked 1,000+ AI responses using structured SBS comparisons across reasoning, factuality, instruction-following, tone, and safety. Applied guideline-based rubrics for consistent quality decisions, including severity judgment, category selection, and root-cause notes.

IN

Product Analyst

Independent

Jan 2023 - Jan 2024 (1 year)

Analyzed retention, engagement, and conversion metrics and built KPI dashboards. Used SQL and Power BI to support ongoing performance tracking.

Education

Degrees, certifications, and relevant coursework

AU

AKTU (Uttar Pradesh Technical University)

Bachelor of Technology (B.Tech)

2022 - 2026

Pursuing a Bachelor of Technology (B.Tech) degree at AKTU University from 2022, expected to complete in 2026.

Tech stack

Software and tools used professionally

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