This role is for one of our clients Compensation: $19 - $65/hourpay Job Title: SolveSpace Expert Job Type: Contract Location: Remote As an expert in SolveSpace, you will have the opportunity to make an immediate impact by demonstrating your proficiency in CAD workflows within a dynamic remote setting. In this distinct role, your practical knowledge will contribute to training AI on how leading professionals address real-world engineering and design challenges utilizing SolveSpace.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a mid-to-senior level Forensic Mechanical Engineer to join our already robust team of professionals supporting our clients throughout the US and internationally. Our engineers routinely perform forensic investigations, provide consultation, and serve as expert witnesses. Our practice areas include commercial, industrial, manufacturing, and residential property and equipment systems as well as related infrastructure components. Assignments will require local, regional, as well as inter-regional travel to project sites. - Investigate the cause and origin of failures, damages, or defects in mechanical systems and components within industrial, commercial, and residential sites. - Analyze the failure of mechanical systems, determine the cause of failures, evaluate the quality of construction, and review design and maintenance procedures. - Perform field investigations, lead multi-party examinations and documentation of damaged property. - Research failure modes, code requirements, and provide recommendations for repair and/or replacement as needed. - Prepare accurate, clear, thorough, and concise reports and related documentation for clients detailing opinions and conclusions. - Participate in multidisciplinary teams on large and complex assignments. - Maintain established relationships with current clients and consultants. - Stay abreast of company policies, procedures and practices; participate in ongoing training and development as assigned or approved to assure knowledge and skills remain current and comprehensive. Qualifications - Bachelor of Science, Mechanical Engineering with minimum of 3 to 5 years of experience. - Requires active Professional Engineering (PE) license; minimum required of resident state. - Excellent verbal and written communication and interpersonal skills. - Computer skills (including Word, Excel and PowerPoint). - A desire to learn, excel and grow with us and within the profession. - Ability to travel 35-50%. Requirements - A minimum of 3 to 5 years of experience in evaluating mechanical system and component failures in a commercial or industrial setting is preferred. - Multi-state licensing and/or active NCEES Record preferred. - Expert witness testimony experience is a plus. - Must be able to lift up to 50 pounds at times. - Must be able to travel to various project sites. - Must be able to access and inspect all areas of mechanical and/or electrical equipment. - Prolonged periods of standing, bending, kneeling and lifting. Benefits - Flexible work environment allows employees to work remotely, when needed. - Flexible Time Off policy. - Medical, Dental, and Vision Insurance. - 401k Match. - Commuter Benefit. - A reasonable estimate of the salary range for this role is $130,000 - $170,000.

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 graduate- and industry-level mechanical engineering problems grounded in real practice. - Evaluate AI-generated solutions for correctness, assumptions, and engineering logic. - Validate analytical or numerical results using Python (NumPy, SciPy, Pandas). - Improve AI reasoning to align with first principles and accepted engineering standards. - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for mechanical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Mechanical Engineering or related fields, e.g. Thermodynamics, Fluid Mechanics, Mechanical Design, Computational Mechanics, etc. - 3+ years of professional mechanical engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, PMP) 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 graduate- and industry-level mechanical engineering problems grounded in real practice. - Evaluate AI-generated solutions for correctness, assumptions, and engineering logic. - Validate analytical or numerical results using Python (NumPy, SciPy, Pandas). - Improve AI reasoning to align with first principles and accepted engineering standards. - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for mechanical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Mechanical Engineering or related fields, e.g. Thermodynamics, Fluid Mechanics, Mechanical Design, Computational Mechanics, etc. - 3+ years of professional mechanical engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, PMP) 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.