5 months ago
London, United KingdomSenior
Responsibilities
- Collaborate on high-impact projects with partnered AI labs and platforms.
- Design complex, domain-specific problems and datasets to rigorously evaluate AI models.
- Provide expert insights to improve model accuracy, reasoning, and overall performance.
- Collaborate with Scale’s research team to co-author technical reports and research papers.
- Participate in review projects, advisory roles, research, and training activities.
Requirements
- At least five years of software engineering or related technical experience, or equivalent domain expertise through academic work such as a PhD, postdoctoral research, or faculty experience in Computer Science or a related field.
- Demonstrated coding proficiency and analytical abilities.
- Deep expertise in at least one of Python, Java, Rust, Swift, JavaScript, or C++.
- Detail-oriented, innovative, collaborative, and interested in applied AI research.
- Candidates must be authorized to work in the country where they reside.
Benefits
- Fully remote independent-contractor opportunity.
- Estimated six-month duration with potential for extension.
- Flexible schedule with self-directed weeks of 10–40 hours.
- Opportunity to collaborate with AI labs, platforms, Scale’s research team, and an interdisciplinary expert network.
- Opportunities to contribute to technical reports and research papers and participate in review and advisory projects.
Tech Stack
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.