• Design and implement electrical systems for hyper-scale data centers, including medium and low-voltage power distribution, backup power systems, and emergency systems • Develop and maintain electrical schematics, bills of materials, and installation drawings • Ensure compliance with industry standards, codes, and regulations, including National Electric Code (NEC) and International Electrotechnical Commission (IEC) standards • Collaborate with other engineers and stakeholders to develop specifications, design criteria, and project budgets • Analyze electrical systems to identify and resolve issues, including load balancing, capacity planning, and power consumption optimization • Monitor and maintain the electrical systems, including performing preventative maintenance, testing, and repairs • Develop and implement electrical safety procedures and training programs for technicians and other staff • Stay up-to-date with advancements in electrical engineering and data center technologies, and recommend new technologies to improve the reliability and efficiency of our data center infrastructure • Is accountable for project success in the electrical discipline. Provides specialized technical input to supporting staff, acting as a mentor and leader for mid-level engineers • Approves and signs off on work, acting as Engineer of Record • Provides estimates for the engineering budget and schedule to meet requirements on large, complex projects • Leads technical client relationships and plays a major role in selling AECOM’s Buildings + Places practice includes architecture, interiors, building engineering, workplace strategy, business transformation, asset advisory, economics and development planning, master planning, urban planning, and landscape architecture.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous electrical engineering problems reflecting professional practice. - Evaluate AI solutions for correctness, assumptions, and constraints. - Validate calculations or simulations using Python (NumPy, Pandas, SciPy). - Improve AI reasoning to align with industry-standard logic. - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for electrical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Electrical Engineering or related fields, e.g. Electronics, Microelectronics, Embedded Systems, Power Systems, etc. - 3+ years of professional electrical engineering experience - Strong written English (C1/C2) • Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, EUR ING, RPEQ) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $55/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous electrical engineering problems reflecting professional practice. - Evaluate AI solutions for correctness, assumptions, and constraints. - Validate calculations or simulations using Python (NumPy, Pandas, SciPy). - Improve AI reasoning to align with industry-standard logic. - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for electrical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Electrical Engineering or related fields, e.g. Electronics, Microelectronics, Embedded Systems, Power Systems, etc. - 3+ years of professional electrical engineering experience - Strong written English (C1/C2) • Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, EUR ING, RPEQ) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $55/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous electrical engineering problems reflecting professional practice. - Evaluate AI solutions for correctness, assumptions, and constraints. - Validate calculations or simulations using Python (NumPy, Pandas, SciPy). - Improve AI reasoning to align with industry-standard logic. - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for electrical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Electrical Engineering or related fields, e.g. Electronics, Microelectronics, Embedded Systems, Power Systems, etc. - 3+ years of professional electrical engineering experience - Strong written English (C1/C2) • Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, EUR ING, RPEQ) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $55/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.