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AGI and General Intelligence Jobs

AGI (Artificial General Intelligence) roles focus on building AI systems with broad, human-level reasoning capabilities. These positions are primarily at frontier AI labs working on the most ambitious problems in artificial intelligence.

Last updated: May 13, 2026

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Frequently Asked Questions

What companies are working on AGI?

Leading AGI-focused organizations include OpenAI, Anthropic, Google DeepMind, Meta FAIR, and xAI. Many well-funded startups are also pursuing AGI-related research in areas like reasoning, planning, and world models. AI engineer roles have surged 143% year-over-year, and AGI-adjacent research roles at these frontier labs are among the most competitive and highest-compensated positions in the industry, with senior research scientists earning $250K-$500K+ in total compensation.

What qualifications do AGI roles require?

AGI roles typically require a PhD or equivalent research experience in machine learning, with publications at top venues like NeurIPS, ICML, or ICLR. Strong skills in deep learning, reinforcement learning, and reasoning systems are essential. However, about 70% of AI graduate students are international, and these labs actively sponsor visas for exceptional researchers. Key technical skills include Python, PyTorch or JAX, and experience with large-scale distributed training on cloud platforms.

What is the compensation for AGI researchers?

AGI research roles are among the highest-paid in all of AI. Senior research scientists at frontier labs earn $195K-$350K+ in base salary, with total compensation often exceeding $500K-$1M+ when including equity. AI leadership roles at these organizations can see total comp reaching $380K or more. The US leads global compensation at $147K-$176K average, while European AI leaders earn approximately $100K less than their US counterparts.