Mullins Mechanical is a leader in industrial and large commercial mechanical, plumbing, HVAC construction projects. Our projects are often in the industrial and manufacturing environments, such as manufacturing facilities, automotive plants, chemical plants, distribution centers, warehouses, and other large commercial facilities. We are a self-performing specialty contractor specializing in design-build applications, HVAC systems, plumbing, process piping systems, boiler and chiller systems, equipment installation and rigging, plant relocation and maintenance, and metal fabrication. We are looking for an experienced Fire Protection Foreman to join our team. Responsibilities: - Manage construction of Fire Protection Sprinkler and Suppression systems. - Manage work crews on assigned project(s) - Collaborate with Superintendent to achieve client satisfaction and project profitability - Review project documents: plans, specifications, and any other pertinent project information - Attend the hand-off meeting to discuss project scope, schedule, subcontractors, materials, and project start. - Ensure Mullins’ safety policies and procedures are enforced and maintained on a daily basis. This includes: - Enforcing site specific safety plan - Attending weekly safety toolbox talks - Submitting detailed Incident Reporting Forms to field supervision on the day the incident occurred and assist Superintendent in gathering potential claim documentation when applicable - Collaborate with the Quality Control Manager, Project Manager and Superintendent to ensure the Quality Assurance Plan is implemented throughout the duration of the project - Notify the Superintendent or Senior Superintendent of any delays or opportunities to accelerate the schedule - Request materials and equipment from the Superintendent, as necessary, to complete assigned work - Ensure tools and equipment are secured on the jobsite and that any repairs/maintenance needed is reported to the Superintendent - Maintain tools and equipment provided by Mullins to their jobsite, both owned and rented - Confirm the proper installation of all equipment on project - Use current technology (mobile apps, email, etc.) to track and distribute information on construction projects - Update, review and/or submit=all required reports/logs in a timely manner: - Ensure jobsite remains clean and orderly Qualifications: - Previous experience and proven track record as a construction Foreman for a trade Mullins self-performs, or in a similar role - Knowledge of local safety, quality, and health guidelines for construction job sites - In-depth understanding of construction operations and processes - Organizational and time-management skills - Ability to communicate professionally - Ability to lead and inspire - OSHA 10 certification Work Location: Ladson, South Carolina Salary: Compensation commensurate with experience. Join Us Mullins Mechanical ranked #243 on the 2024 ENR Top Specialty Contractors list, #48 in the Nation and #5 in the Southeast among Firms in Mechanical. We’re proud to be one of the fastest growing privately held companies in America. We’re a self-performing specialty contractor specializing in design-build applications, HVAC systems, plumbing, process piping systems, boiler and chiller systems, equipment installation and rigging, plant relocation and maintenance, fire protection, and metal fabrication. Our projects are often in industrial and heavy commercial environments such as manufacturing facilities, automotive plants, chemical plants, distribution centers, warehouses, data centers, and other large facilities.

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 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 Mechanical 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+); - Professional certifications (e.g., CMME, SAS Certifications, CAP) 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. 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 isproject-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 Mechanical 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+); - Professional certifications (e.g., CMME, SAS Certifications, CAP) 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. 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 isproject-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 Mechanical 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+); - Professional certifications (e.g., CMME, SAS Certifications, CAP) 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. 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.