Electrical Engineering & Computer Science Task Lead (AI Projects)

Gramian Consulting Group; Brasil; Remote; BRL 351.000 - 701.000; Vollzeit

Zusammenfassung

Gramian Consulting Group seeks an experienced expert to lead a team of technical trainers developing realistic, terminal-based tasks for AI training and evaluation. You will oversee 5–10 trainers, review tasks for technical accuracy and reproducibility, and ensure adherence to authentic software, computational, and electrical workflows.

PhD is mandatory; you will validate HPC, HDL, circuits, algorithms, and software environments, ensuring high-quality, deterministic outputs and rigorous grading

Qualifikationen

• PhD requirement or equivalent advanced technical expertise
• Experience leading a team of trainers and QA processes
• Strong track record in evaluating complex technical outputs

Aufgaben

• Lead and mentor a team of 5–10 technical trainers, ensuring quality and timely task delivery
• Review tasks end-to-end including problem statements, codebases, HDL, datasets, and automated tests
• Validate tasks involving HPC, parallel computing, algorithms, distributed systems, compilers, OS, databases, ML systems, GPU computing, circuit design, and power systems
• Ensure tasks reflect realistic software and electrical engineering workflows requiring multi-step reasoning
• Verify correctness across algorithm complexity, numerical accuracy, memory, concurrency, and timing constraints
• Review build processes and dependencies to ensure reproducible results
• Identify unreliable tests due to nondeterminism, race conditions, or hardware-dependent performance
• Audit automated graders for meaningful outputs like correctness, performance, and timing
• Spot inaccuracies, flawed assumptions, and ways to bypass genuine computation or engineering
• Provide actionable feedback, track revisions, and ensure quality before approval
• Onboard trainers, allocate work, monitor quality, resolve blockers, document best practices

Kenntnisse

C/C++

Rust

Python

Julia

Fortran

MATLAB/Octave

HDL

Linux

Algorithms

Computational systems

Software testing

Ausbildung

PhD or equivalent

Jobbeschreibung

About Gramian

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

About the Role

We are seeking an experienced Computer Science, Electrical Engineering, or Computer Engineering Expert to lead a team of technical trainers developing realistic, terminal-based tasks for advanced AI training and evaluation. You will oversee a pod of approximately 5–10 trainers, review tasks for technical accuracy, reproducibility, and grading reliability, and ensure they reflect authentic software, computational, and electrical engineering workflows. This role combines advanced technical expertise, computational problem-solving, quality assurance, and team leadership to help evaluate and improve next-generation AI systems.

CONTRACT

Contractor assignment, 4 weeks

COMMITMENT

Hourly, up to 40h/week

LOCATIONS

Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam

PROCESS

AI Interview

NOTES

PhD Degree is mandatory!

Key Responsibilities

• Lead and mentor a team of 5–10 technical trainers, ensuring consistent quality, productivity, and timely task delivery.
• 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, machine learning 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 assess meaningful technical outputs, including functional correctness, performance, frequency response, waveforms, timing, efficiency, and system behavior.
• Identify technical inaccuracies, flawed assumptions, incorrect tolerances, and ways tasks could be bypassed without genuine computation or engineering analysis.
• Provide actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval.
• Onboard trainers, allocate work, monitor quality and throughput, resolve technical blockers, and maintain technical documentation and best practices.

Qualifications

• PhD, postdoctoral experience, or equivalent advanced technical expertise in Computer Science, Electrical Engineering, Computer Engineering, or a closely related discipline.

Required Skills and Experience

• Strong programming skills in C/C++, Rust, Python, Julia, Fortran, MATLAB/Octave, or hardware description languages (HDL).
• Advanced proficiency in Linux and command-line environments.
• Hands‑on expertise in at least one major area, such as 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 technical reliability.
• Strong analytical judgment and the ability to identify technical errors, edge cases, race conditions, and flawed engineering assumptions.
• Experience mentoring, reviewing, or leading small technical teams.
• Excellent written communication skills for precise technical feedback and documentation.