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 is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational physics problems that simulate real physics research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; - Base problems on real research challenges or practical applications from physics practice; - Verify solutions using Python with standard physics simulation libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for optical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Physics (Theoretical, Experimental, or Computational) or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical simulation methods; - Ability to design problems that mirror real physics research workflows; - Creative thinking in problem design across diverse physics areas; - Familiarity with physics modeling and approximation techniques; - Strong written English (C1+). 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. Compensation On this project, contributors can earn up to $76 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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 is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational physics problems that simulate real physics research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; - Base problems on real research challenges or practical applications from physics practice; - Verify solutions using Python with standard physics simulation libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for optical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Physics (Theoretical, Experimental, or Computational) or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical simulation methods; - Ability to design problems that mirror real physics research workflows; - Creative thinking in problem design across diverse physics areas; - Familiarity with physics modeling and approximation techniques; - Strong written English (C1+). 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. Compensation On this project, contributors can earn up to $76 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

• Developing training on various aspects of industrial control systems • Evaluating new technologies • Support project delivery teams with high quality professional services • Developing and executing training for Automation Specialists and other technical employees • Creating BOMs, IO lists, and requirements for control panels • Developing PLC programs in Ladder, Function Block, and other languages • Writing hardware and software test plans and simulation logic • Testing new products and technologies • Developing company standards • Interfacing with manufacturers and vendors of software • Collaborating with others to troubleshoot and repair programming and system failures

Job Description PROCESS ENGINEER Description Dollar Tree is seeking a Process Engineer to support the Logistics Engineering Team. This individual will be responsible for designing, managing and executing distribution center process improvements and support labor management efforts. We are looking for passionate hands-on individuals from industrial and systems engineering, manufacturing, production or distribution environments who can effectively innovate and deliver results on behalf of the customer in a fast-paced environment. A background in distribution operations and labor and performance management is preferred. This individual must have strong interpersonal, communication, project management, data analysis and forecasting skills. Responsibilities · Drive standardization and documentation of standard operating procedures and distribution process across the Dollar Tree Logistics using strong process management and lean principles · Drive implementation and adoption of new process innovations across multiple distribution facilities · Develop, implement and maintain labor standards, labor management system configuration, analysis and reporting · Identify innovations and perform experiments to create processes that increase customer value, reduce cost per case, and increase building capacity · Determine root causes of "defects" in performance through deep dive data analysis and decomposition and process observation · Collaborate with business partners in cross functional areas such as Operations, Safety, Quality, Loss Prevention, Engineering, Information Technology, and Finance in support of Supply Chain initiatives · Coordinate with Information Technology and drive the operational execution of software enhancements BASIC QUALIFICATIONS · BS degree in engineering or equivalent industrial and operations background · Minimum of three (3) years of experience in a similar process and building layout design and development role, ideally in fast-paced industrial, logistics, distribution, fulfillment or production/manufacturing environment · Knowledge of standardization of work methods, time study, MOST or equivalent tools to establish labor standards · Process Engineering skills and excellent Project Management skills · Demonstrated ability to build strong working relationships with business partners and key stakeholders and in a cross functional organization · High level of written, verbal and interpersonal skills · Advanced data analysis skills and an expert in using supporting tools e.g., Minitab, Excel, MS Access · Ability to travel up to 75% of the time based on project needs · Remote eligible for qualified candidates within reasonable distance of a major airport in the Eastern or Central time zone PREFERRED QUALIFICATIONS · Project Management Certification · MOST Certification · Lean Six Sigma Certification Experience and proficiency with labor management system implementation and maintenance (preferably Manhattan Active) Full time Greensboro, North Carolina Distribution Center Engineering Dollar Tree