About Scale

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.

About Data Engine

Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

About the Teams

As part of the interview process, you'll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and the needs of the business.

• Frontier Data: This team builds high-impact datasets that push the boundaries of LLM capabilities. We work closely with customers, GTM, and operations to enable advanced reasoning, agentic workflows, and more. Frontier Data leads some of Scale’s most ambitious projects and sets the standard for AI data quality across the industry.
• Growth: Owns the contributor platform experience. We build tools to improve onboarding, project matching, assessments, and incentives - partnering with ML teams to optimize how contributors are evaluated and assigned. We also use data science to grow our contributor base and elevate the future of the data labeling ecosystem.
• Trust & Safety: This team safeguards the integrity of our Data Engine by detecting and preventing fraud, cheating, and abuse. We sit at the intersection of ML, analytics, and security to ensure the data we deliver is accurate, secure, and high quality.
• Pay, Incentives & Allocation: This team ensures contributors are paid fairly, incentivized effectively, and matched to the right projects. We own everything from pay rates and fulfillment to the recommendation engine that helps contributors find tasks aligned with their skills and preferences. Our work is critical to contributor satisfaction and Scale’s ability to deliver great data, fast.work that best fits their skill set, preferences, and the needs of Scale’s business.

Responsibilities:

• Design and implement features end-to-end across front-end, back-end, and infrastructure
• Build features end-to-end using technologies like TypeScript, MongoDB, and Elasticsearch, and contribute to our compute orchestration layer powered by Temporal
• Own high-impact technical systems that are critical to Scale’s revenue delivery
• Build and iterate on complex systems that scale to millions of tasks per week
• Collaborate with model teams, Forward Deployed Engineers, and cross-functional stakeholders
• Help shape the engineering culture, values, and best practices of a fast-growing team

Requirements:

• 3+ years of relevant software engineering experience
• Track record of building and shipping products at scale
• Ability to thrive in a fast-paced, high-ownership environment
• Strong product intuition and problem-solving skills
• Experience across the stack: React, Typescript, Node, Python, etc.
• Excited to join a hybrid team based in San Francisco or New York City