Contribute to Cutting-Edge AI Projects, such as training models for complex reasoning tasks or identifying model failure modes
Join bi-weekly Focus Groups to exchange insights, discuss evolving AI techniques, and learn from experienced researchers
Engage in Team-Based Projects, collaborating with small groups on creative challenges like drafting blog-style content or conceptualizing innovative AI solutions
Work Independently & Flexibly, setting your own working hours to prioritize academic life while making meaningful progress
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About Scale AI
Scale AI is pioneering the foundational infrastructure for an AI-ready world, transforming raw data into high-quality training and validation datasets. They serve industry leaders like OpenAI, Meta, Microsoft, and government agencies, enabling them to build, deploy, and oversee reliable AI applications. Scale AI's platform tackles the complex challenges of data annotation for diverse AI applications, including LiDAR, video, and image annotation for autonomous vehicles, drones, and robotics. With over $2.6 billion in funding, Scale AI is a critical partner in the global AI revolution, driving economic growth and accelerating the adoption of AI-powered technologies across various industries.
How We Work
Scale AI fosters a culture of accountability and ownership, where work is characterized by high autonomy and a strong emphasis on measurable impact. The environment is fast-paced and engineering-driven, prioritizing rapid experimentation and real-world results in the frontier of AI innovation. While the company encourages cross-functional collaboration and open communication, the intensity and frequent organizational changes mean it thrives on self-directed individuals.
Engineering at Scale AI
Engineering at Scale AI involves building the critical data infrastructure that powers leading AI models. This means tackling challenges in data quality, governance, and scaling AI from experimental prototypes to production systems. The team leverages custom machine learning models for automated data labeling, augmented by human verification to achieve high accuracy. They provide a full-stack solution from data labeling to model evaluation, offering everything from rapid prototyping with Scale Rapid to optimizing in-house labeling teams with Scale Studio. Engineers utilize Python, Go, and TypeScript, focusing on areas like RLHF, data labeling, and model evaluation.
Why Join Us
Contribute to critical AI infrastructure used by industry giants like OpenAI, Meta, and the U.S. government.
Engage in high-impact projects at the forefront of AI innovation, expanding your expertise in areas like generative AI and deep learning.
Collaborate within an interdisciplinary network of leading thinkers and academics, with opportunities to co-author research publications.
Benefit from a flexible schedule and remote work options, allowing you to balance professional growth with personal commitments.
Benefits & Perks
Comprehensive healthcare coverage, including medical, dental, and vision.
Equity-based compensation for eligible full-time roles, including an employee stock purchase plan.
Generous paid time off, paid holidays, and paid sick days.
Flexible work hours and remote work options.
Monthly wellness stipend and free lunch and dinner for some roles.