Domain Experts - Scientific Computing Specialist

About this role

About Turing: Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Role Overview: We build environments used to benchmark AI models on real desktop engineering, scientific, and professional software. We need a Scientific Computing and Numerical Analysis Specialist to build the templates for this domain. A template is the reusable foundation for one application: what the application can do, and the realistic material a task is built from. Once a template exists, many tasks are generated from it. Applications GNU Octave · GeoGebra (primary tools). Mapped workflow coverage: R, RStudio, SPSS, JMP, JASP, Scilab / Xcos. Key Responsibilities: Application capability mapping. Work through an application's real capabilities (supported input types, the operations that matter, what it exports) and record them in a structured form the rest of the team builds on. Environment base assets. Produce the material a task runs on: Octave scripts (.m), GeoGebra worksheets (.ggb), R script files (.R), numerical dataset CSVs, mathematical proof specifications, and target matrix outputs. Realistic enough that a working practitioner would recognise it, and internally consistent, since the details have to agree with each other. Reference solutions. Complete tasks in your domain on record, so there is proof the work is humanly achievable and a reference for what correct looks like. You are not writing scoring code. You define what correct means; engineers implement the checks. Key Requirements: Candidates must have a minimum of 5+ years of professional experience in Scientific Computing, Applied Mathematics, or Statistical Modeling: you have authored real computational algorithms, not only run basic scripts Hands-on experience with at least one of GNU Octave or GeoGebra (mandatory) Solid grounding in numerical linear algebra, ODE solvers, regression modeling, and statistical hypothesis testing Ability to explain why a numerical convergence result or mathematical construction is correct, not only that it is Clear written English Preferred Qualifications: Experience with R/RStudio, JASP, or SPSS GeoGebra XML construction scripting or automated matrix verification checks Benefits Opportunity to work on cutting-edge AI projects. Competitive compensation. Flexible working hours and remote work environment. Offer Details: Commitments Required : 40 hours per week with at least 4 hours PST overlap Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 5 weeks; imediate onboarding