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Pod lead - Electrical Engineering & Computer Science (Terminal Bench Science)

per hour

Contractor Remote Last verified 21 Jul 2026

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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. You will also mentor trainers, maintain quality standards, and drive consistent delivery of challenging technical tasks.

What You'll Do

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.
Verify technical correctness across algorithm complexity, numerical accuracy, memory management, concurrency, circuit laws, power balance, signal processing, timing constraints, and system stability.
Validate compilers, simulation tools, software dependencies, computational environments, and build processes to ensure reproducible results.
Identify unreliable tests caused by nondeterministic behavior, race conditions, hardware-dependent performance thresholds, or simulation convergence issues.
Review automated graders to ensure they evaluate meaningful technical outputs such as functional correctness, performance, frequency response, waveforms, timing, efficiency, and system behavior.

You're a Good Fit If You

Required skills: Electrical Networks, Computer Science Fundamentals
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.
Strong analytical judgment with the ability to identify technical errors, edge cases, race conditions, and flawed engineering assumptions.
Experience mentoring, reviewing, or leading small technical teams.

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Role Highlights

Pay

Pay varies

Contract

Contractor

Location

Remote

Pay & Payout

Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.

Common Questions

Turing has a reliability rating of very reliable based on the listings we track, with an onboarding time of 5-14 days. See our full Turing review for the details behind that rating.

Applying takes you to Turing's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.

Pay varies - Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.

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.

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