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EvalLoop LLM Quality Control
31 Signals

EvalLoop LLM Quality Control

A SaaS platform that builds reproducible LLM evaluation pipelines and turns eval results into prioritized model, prompt, and fine-tuning improvements.

Added Jun 11, 2026

LLMOps
AI Evaluation
Experimentation
Opportunity score

Medium opportunity (66%)

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The Problem

AI teams struggle to measure whether LLM changes actually improve quality, performance, and user experience. The signals point to repeated needs around designing useful evals, validating model performance, benchmarking outputs, and using results to guide post-training or prompt optimization.

Potential Solution

EvalLoop provides managed evaluation workflows for LLM apps, including benchmark suites, experiment tracking, A/B test analysis, prompt comparison, fine-tune comparison, and regression monitoring. It converts evaluation results into actionable recommendations for prompt changes, post-training priorities, and deployment readiness.

Why Now?

Companies are moving from prototype LLM apps to production systems, making reliable evaluation infrastructure a recurring operational need. Multiple AI companies are hiring specifically for LLM evaluation, experimentation, and post-training workflows.

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Showing 1-20 of 31 signals

Job adsSep 19, 2026
microsoft
Senior Applied Scientist - Outlook Science Team

Program Management: Oversee and manage large-scale, cross-functional evaluation programs, ensuring alignment with organizational objectives and timelines. Develop and maintain a robust measurement framework to track and report on LLM performance and user impact. Drive engineering product roadmap to construct automated evaluation pipelines integrated into the product workflow.

Job adsSep 11, 2026
justworks
Customer Success Performance Insight Analyst

Design, train, and implement LLM prompts to scale QA automation, insight generation, and customer feedback synthesis Evaluate AI-generated outputs (chatbots, automated QA, etc.) for accuracy, clarity, and business impact; build feedback loops to continuously improve AI systems

Job adsSep 2, 2026
meta
Marketing Technology Manager, AI

Design and implement AI evaluation frameworks, including model performance benchmarking, prompt evaluation, and quality assurance processes to ensure AI agents and LLM-driven outputs meet production-quality standards

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