S
London, England, GB
Scale
Scale builds data infrastructure and full-stack ML platforms covering RLHF, data generation, model evaluation and safety alignment for AI labs, governments and enterprises.
Scale, founded in 2016 and headquartered in San Francisco, builds data infrastructure and full-stack technologies that power AI systems. The company helps teams manage the entire machine learning lifecycle with high-quality data, spanning RLHF, data generation, model evaluation, safety alignment, MLOps and AI data infrastructure for large language models and generative models. Its AI data and full-stack ML platform serves AI labs, government agencies and Fortune 500 companies.
Operating at considerable volume, Scale has processed more than 15 billion human decisions to train AI models and distributed $1 billion in payouts to a global contributor network. The company has grown from a small startup to a team of 1,000 people since its founding.
Technical work centres on machine learning, RLHF, model evaluation and safety alignment for advanced LLMs and generative systems. Leadership candidates would find an engineering organisation oriented around both operational excellence and cutting-edge technology, applied to the development of reliable AI systems for critical decisions.
The company's stated position is that better data means better AI, paired with a culture of continuous improvement. Scale maintains its founding base in San Francisco alongside a worldwide contributor network.