About the role
We are seeking an experienced Electrical Engineering or Computer Science expert to lead a team of technical trainers developing realistic, terminal-based scientific and engineering tasks for a frontier AI training and evaluation initiative. In this role, you will oversee a pod of approximately 5–10 trainers, review technical tasks for accuracy, reproducibility, and evaluation quality, and ensure tasks reflect authentic computer science, software systems, and electrical engineering workflows. Main tasks listed: Lead and mentor a pod of technical trainers, ensuring consistent quality, productivity, and timely delivery of scientific and engineering tasks; Review technical tasks end to end, including problem statements, codebases, circuit netlists, hardware description languages (HDL), datasets, computational environments, reference solutions, and automated tests; Validate tasks involving high-performance computing (HPC), parallel computing, algorithms, distributed systems, compilers, operating systems, databases, ML systems, GPU computing, circuit design, signal processing, power systems, and embedded systems; Ensure tasks reflect realistic software engineering, research, and electrical engineering workflows requiring meaningful multi-step technical reasoning.
Experience
Ph.D., postdoctoral experience, or equivalent advanced technical experience in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline; Strong programming skills in C/C++, Rust, Python, Julia, Fortran, MATLAB/Octave, or hardware description languages (HDL), with advanced Linux and terminal proficiency; Hands-on expertise in at least one major area: parallel computing, systems programming, scientific software development, circuit simulation, signal processing, power systems, or digital hardware design; Strong understanding of algorithms, computational systems, numerical methods, software testing, or electrical engineering principles; Experience reviewing complex codebases, technical implementations, engineering simulations, or research outputs; Ability to evaluate algorithm correctness, computational performance, numerical accuracy, concurrency behavior, and reliability of technical results
Selection process
Apply through the official Turing page (free account required). The listing does not describe further selection steps.
Eligibility
Not stated on the listing (remote)