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 energy 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 energy engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Energy Engineering or related fields, e.g. Electrical Engineering, Power Systems Engineering, Renewable Energy Engineering, Electronics etc. - 3+ years of professional energy engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, EMP, CEM) 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 energy 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 energy engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Energy Engineering or related fields, e.g. Electrical Engineering, Power Systems Engineering, Renewable Energy Engineering, Electronics etc. - 3+ years of professional energy engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, EMP, CEM) 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.

• Provide leadership and technical direction to large teams for multiple software development projects with significant business impact • Establish plans for projects, define objectives, identify engineering resources, and manage costs • Manage the project schedules, provide reports to customers and modify plans as required • Act as a CAM for Cost Plus programs implementing certified EVMS • Provide oversight of design practices and standards • Effectively communicate with customers and program managers to assure a quality product is delivered on time and within budget • Effectively apply Project Management Professional (PMP) principles and standards

• Partnering closely with senior engineering product leaders to surface pain points and prioritize organizational improvements. • Diagnosing root causes across process, tooling, ownership, communication, and cross‑team interfaces. • Designing and implementing lightweight, scalable operating systems for planning, goal‑setting, reviews, and retrospectives. • Building dashboards, summaries, and reporting that improve leadership visibility without creating busywork for engineers. • Improving how engineering and product teams interface with each other and with non‑engineering groups. • Ensuring engineering and product knowledge, decisions, and best practices are clearly documented and easy to access. • Improving structure, standards, and usability of shared tools (e.g., Confluence, Jira, internal dashboards). • Identifying opportunities to replace overly manual workflows with automation or improved tooling. • Partnering with People Ops on engineering‑specific onboarding, growth frameworks, org changes, and performance processes. • Working with Business Ops and Procurement to streamline budgeting, purchasing, and resource planning for engineering teams. • Establishing effective meeting, calendar, and Slack practices that maximize clarity and minimize overhead. • Coordinating high‑leverage engineering and product forums (e.g., offsites, design reviews, all‑hands) to ensure they are purposeful and well‑run.