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 engineering problems that simulate real engineering workflows; - Create problems requiring Python programming to solve engineering calculations and simulations; - Ensure problems are computationally intensive and require numerical methods or iterative solutions; - Develop problems involving system design, optimization, and analysis; - Base problems on real research challenges or practical applications from engineering practice; - Verify solutions using Python with standard engineering libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Civil Engineering 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; - Understanding of practical engineering constraints and approximations; - 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 $39 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.

Engagement Type: Long-term contract Hours: Full-time Location: Remote Who We Are Flosum is a profitable B2B SaaS company building the leading Salesforce-native DevSecOps, Data Protection, and Security platform. Our solutions are trusted by Fortune 500 enterprises in highly regulated industries including financial services, healthcare, government, and insurance. We operate at the highest level of the Salesforce ecosystem as a Salesforce Summit Partner and Innovation Award winner. Our platform is built entirely on Salesforce and serves customers where security, compliance, and reliability are critical. What You’ll Own - Technical architecture across Salesforce and Node.js systems - End-to-end ownership of development execution and delivery - Managing and improving performance of developers across the team, with direct accountability for output - Driving development velocity and removing bottlenecks - Establishing clear engineering standards and accountability - Owning the training and ramp-up of Node.js developers into Salesforce (1–2 month ramp expected), including hands-on guidance and technical oversight - Working directly with the CEO and leadership team on priorities and execution - Directly managing and guiding developers, not just coordinating through layers - Making final technical decisions when needed to ensure execution is not blocked

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 engineering problems that simulate real engineering workflows; - Create problems requiring Python programming to solve engineering calculations and simulations; - Ensure problems are computationally intensive and require numerical methods or iterative solutions; - Develop problems involving system design, optimization, and analysis; - Base problems on real research challenges or practical applications from engineering practice; - Verify solutions using Python with standard engineering libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Civil Engineering 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; - Understanding of practical engineering constraints and approximations; - 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 $69 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 engineering problems that simulate real engineering workflows; - Create problems requiring Python programming to solve engineering calculations and simulations; - Ensure problems are computationally intensive and require numerical methods or iterative solutions; - Develop problems involving system design, optimization, and analysis; - Base problems on real research challenges or practical applications from engineering practice; - Verify solutions using Python with standard engineering libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Civil Engineering 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; - Understanding of practical engineering constraints and approximations; - 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 $69 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.