AI Strategist
Siena AIFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
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The role involves owning end-to-end creation of datasets, RL environments, and evals for coding agents; building and managing teams of software engineers, researchers, QAs, and data-annotators; defining data pipelines, validation workflows; and developing automations and synthetic data systems. Hands-on technical leadership in software engineering and AI data for frontier models is essential.
Turing fosters an innovative, high-impact environment recognized by Forbes, The Information, and Fast Company, with leadership from top AI technologists at Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. The role allows running projects like a startup within Turing, owning technical architecture.
Strong candidates have hands-on technical leadership experience in building AI datasets or evals for coding/software engineering, ability to manage diverse teams from a large talent pool, and skills in data pipelines, automations, and delivering high-quality projects at scale for frontier AI labs.
AI-driven matching of businesses with engineers
Turing provides tech services by using artificial intelligence to connect businesses with skilled software engineers for custom application development and on-demand engineering needs. The company has a large pool of over 3 million vetted engineers from 150 countries, allowing businesses to quickly find the right talent for their projects. When a company needs a developer, they specify the required skills, and Turing's AI matches them with the best candidates, streamlining the recruitment process and helping companies complete projects faster. Turing also supports engineers by offering access to high-paying remote job opportunities in the U.S., with a high rematch rate ensuring job stability. The goal of Turing is to enhance recruitment efficiency for businesses while providing valuable job opportunities for engineers.