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15 open positions · Updated 1 week ago
15 Evaluation roles across 11 companies, most in AI/ML; 7% fully remote
Who is hiring (11 companies)
Role types
Work arrangement: 1 fully remote · 5 hybrid · 1 on-site · 8 not stated
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 15 of 15 positions
Search with filters →Manage the data labeling engine for frontier healthcare AI at Hippocratic AI, ensuring high-quality data for model training.
Join Neko Health as an AI Acceleration Specialist to drive impactful AI solutions and enhance internal workflows.
Join Neko Health as an AI Acceleration Specialist to drive AI integration and workflow improvements across teams.
Join Sierra as a Research Engineer to tackle applied AI and ML challenges in a collaborative environment focused on customer-facing solutions.
Join P-1 AI to evaluate and enhance an AI engineer agent for the physical world, working closely with engineering teams and customers.
Join Ando as a Research Engineer to work on AI agents in a messaging platform, focusing on real data and impactful research.
Join Qualified Health as a Senior AI Product Manager to drive data, analytics, evaluation, and governance in healthcare AI.
Own the evaluation system for Nuna's AI health coach, building testing harnesses and infrastructure to ensure safety and quality.
Join Inworld AI as a Lead Research Scientist to innovate in real-time voice models and impact AI applications globally.
Join Inworld AI as a Staff/Principal Research Scientist to innovate in real-time voice models and impact AI applications globally.
Join Inworld AI as a Lead Research Scientist to innovate in real-time voice models and AI applications.
Join Inworld AI as a Staff/Principal Research Scientist to innovate in real-time voice models within a fully remote team in Switzerland.
Lead product development for AI data systems at Snorkel AI, focusing on quality and efficiency in data operations.
Join Faire as a Senior Applied AI/ML Scientist to lead the development of an AI-driven retailer assistant in a hybrid work environment.