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Sarthak KarnatakSK
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Sarthak Karnatak

@sarthakkarnatak

AI Trainer and RLHF Evaluator improving LLM quality, safety, and reasoning through structured evaluation and prompt optimization.

India
Message

What I'm looking for

I’m looking for a team where I can run structured RLHF/quality evaluations, strengthen safety and policy compliance, and improve model performance using clear rubrics, feedback loops, and collaborative iteration in a fully remote workflow.

I’m an AI Trainer and RLHF Evaluator focused on improving large language model outputs through rigorous, rubric-based assessment. I combine hands-on prompt engineering with safety alignment to spot reasoning gaps, hallucinations, and policy risks early.

At Outlier AI, I design prompts and golden responses for supervised training, run side-by-side model comparisons, and lead multi-turn evaluation to verify instruction retention, contextual consistency, and coherent dialogue progression. I also contribute to scalable training workflows using structured JSON task formats and standardized annotation guidelines.

Beyond LLM evaluation, I bring 8+ years of customer experience leadership—managing teams, improving CSAT, reducing response times, and building scalable processes. My approach stays practical, quality-driven, and collaborative, including cross-functional coordination in fully remote environments.

Experience

Work history, roles, and key accomplishments

Outlier AI logoOA
Current

AI Trainer / RLHF Evaluator

Mar 2025 - Present (1 year 3 months)

Evaluated and improved large language model outputs using RLHF and rubric-based scoring across business, operations, and creative domains. Built golden responses and prompts, performed side-by-side comparisons to identify hallucinations and safety risks, and achieved Oracle-level contributor ratings for sustained accuracy and policy compliance.

Education

Degrees, certifications, and relevant coursework

CR

College of Engineering Roorkee

Bachelor of Engineering, Computer Science

2014 -

Bachelor of Engineering program with a minor in Computer Science at College of Engineering Roorkee starting in 2014.

Tech stack

Software and tools used professionally

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