5 months ago
Toronto, CanadaSenior
Responsibilities
- Collaborate with partnered AI labs and platforms on high-impact projects.
- Design complex, domain-specific problems and datasets to rigorously evaluate AI models.
- Provide expert insights to improve AI model accuracy, reasoning, and overall performance.
- Collaborate with Scale’s research team to co-author technical reports and research papers.
- Participate in the interdisciplinary Human Frontier Collective community.
Requirements
- At least five years of software engineering or related technical experience, or equivalent domain expertise through academic work.
- A PhD, postdoctoral research, or faculty experience in Computer Science or a related field may provide relevant academic expertise.
- Demonstrated coding proficiency and analytical abilities.
- Deep expertise in at least one of Python, Java, Rust, Swift, JavaScript, or C++.
- Detail-oriented, innovative, collaborative mindset with an interest in applied AI research.
Benefits
- Fully remote work arrangement.
- 1099 independent contractor opportunity with an estimated six-month duration and potential extension.
- Flexible self-directed schedule of 10–40 hours per week.
- Opportunity to collaborate with AI labs, platforms, and an interdisciplinary expert network.
- Opportunities to contribute to technical reports and research papers.
Tech Stack
Categories
AI Research
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.