7 months ago
Remote, United StatesSenior / Staff+
Responsibilities
- Engage in high-impact projects with partnered AI labs and platforms.
- Design complex, domain-specific problems and datasets to evaluate AI models.
- Provide expert insights to enhance AI model accuracy and performance.
- Collaborate with Scale’s research team to co-author technical reports and research papers.
Requirements
- 5+ years of software engineering or related technical experience.
- Equivalent domain expertise through academic work such as a PhD or postdoctoral research.
- Demonstrated coding proficiency in programming languages like Python, Java, Rust, Swift, JavaScript, or C++.
- Detail-oriented and innovative thinker with a passion for applied AI research.
Benefits
- Flexible schedule with 10–40 hour weeks.
- Opportunity for professional development through review projects and advisory roles.
- Collaboration with a global network of academics and experts.
- Competitive pay rates based on project scope and skillset.
Tech Stack
Categories
Data Science
About Scale AI
Scale AI builds data annotation services and AI development tools for enterprises and government agencies, sold as a platform and managed services. Its products include the Scale Generative AI Platform for building and evaluating agents and the Data Engine for collecting, curating, and labeling training data, including RLHF and model evaluation. Founded in 2016 and headquartered in San Francisco, the company is privately held and works across domains from computer vision to LLM applications.