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Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid. Project time expectations: 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. 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.
Automotive Engineer (Python) - Freelance AI Trainer
Location
Texas
Posted
83 days ago
Salary
0
Seniority
Mid Level
Job Description
Automotive Engineer (Python) - Freelance AI Trainer
Mindrift
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 graduate- and industry-level automotive 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 automotive engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: - Degree in Automotive Engineering or related fields, e.g. Mechatronics, Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, etc. - 3+ years of professional automotive 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. Compensation On this project, contributors can earn up to $55 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.
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Automotive Engineer (Python) - Freelance AI Trainer
MindriftApply → Pass qualification(s) → Join a project → Complete tasks → Get paid. Project time expectations: 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. 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 is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design graduate- and industry-level automotive 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 automotive engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: - Degree in Automotive Engineering or related fields, e.g. Mechatronics, Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, etc. - 3+ years of professional automotive 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. Compensation On this project, contributors can earn up to $55 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.
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Title: Engineer - Staff Engineer (PMO - Renewables Engineering) Location: Detroit United States Job Description: DTE is one of the nation's largest diversified energy companies. Our electric and gas companies have fueled our customer's homes and Michigan's progress for more than a century. And as Michigan's largest source of renewable energy, we're creating a cleaner, healthier environment to power our future. We're also serving communities beyond Michigan, where our affiliated businesses offer renewable energy, emission control technologies, and energy services to industries in 19 states. But we're more than a leading energy company... and working at DTE is more than just a job. At DTE, we take great care of each other and our customers, and we use our energy to be a force for growth and prosperity in our communities. When you join us, you'll be part of a team that welcomes, recognizes, and celebrates differences and values everyone's health, safety, and wellbeing. Are you ready to make that kind of difference? Bring your energy to DTE. Together, we can achieve great things. Testing Required: Not Applicable Employment Sponsorship: This position is not eligible for visa sponsorship currently. Hybrid Role: This role is hybrid, with an established schedule of in-person work required at an assigned work location. Any remote work is expected to be performed from an employee's primary residence, unless allowed (or prohibited) through the Company's remote work guidelines. Emergency Response: Yes - Must be available to perform a primary assignment in support of DTE's emergency response to storms or other events that impact service to our customers. Job Summary Intermediate level engineer responsible for independently evaluating, selecting and applying standard engineering techniques, procedures and criteria. Uses judgement in applying or recommending adaptions and modifications. 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Title: Staff Engineer, Reliability Location: Richardson United States Job Description: Req ID: 133720 Region: Americas Country: USA State/Province: Texas City: Richardson Summary The Staff Reliability Engineer, works in cross functional teams with designers, customers and manufacturing engineering and project leaders to ensure products designed can meet reliability specifications. Define the reliability testing strategy, reliability test plan and conduct tests. Complete a stress based MTBF analysis of products, thus providing initial reliability predictions. Detailed Description Performs tasks such as, but not limited to, the following: - Lead reliability analysis and work with the design teams to ensure the products designed can meet reliability specification. - Work with the design team and customers to understand and define reliability requirements of products. - Conduct design review and close loops with the design team to fix design issues. - Define the reliability testing strategy, reliability test plan and conduct test. - Complete a stress based MTBF analysis of the product, thus providing initial reliability predictions. - Coordinate third-party performance and regulatory testing. - Train relevant manufacturing partner personnel to conduct the test. - Perform failure analysis and generate failure reports. - Design guidelines recommendations based on run to failure testing and stress vs. strength analysis - Actively collaborate with the engineering team and seek opportunities to develop new/improve existing durability test methodology to enhance product development efficiency. - Apply problem-solving and analytical skills to conduct failure analysis - Lead FMEA for chassis- and rack-level (L10/L11) products, coordinating inputs from design teams and working with other stakeholders in the organization to complete tasks per customer requirements. Knowledge/Skills/Competencies - Must demonstrate experience with reliability testing such as HALT, HASS, ALT, and reliability demonstration/acceptance test plans. Demonstrate experience with environmental tests such as thermal cycling, power cycling, vibration, shock, drop, storage, acoustic, and RVI testing. - Demonstrated experience with Reliability Block Diagram (RBD), Mean Time Between Failure (MTBF) prediction calculation and testing, MTTR, De-rating, availability, and reliability-centered maintenance calculation. - Demonstrated experience with reliability software for prediction, RBD, Weibull, ALT, and maintainability (e.g., Reliasoft, Isograph, Windchill Risk and Reliability, or JMP). - Demonstrate experience in heat transfer, fluid dynamics, mechanical design, electrical, and electronics. - Reliability expertise in reliability analysis, reliability prediction methods and accelerated life testing and design analysis for Electronic products (Communication, Enterprise products). - Demonstrated experience with FMEA, design for reliability (DFR), DFT and design for manufacturability (DFM) concepts, particularly as they relate to process, property and complex manufacturing systems. - Excellent communication and interpersonal skills. 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Celestica would like to thank all applicants, however, only qualified applicants will be contacted. Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services. Nearest Major Market: Dallas Nearest Secondary Market: Fort Worth Job Segment: Testing, Thermal Engineering, Electronics Engineer, Supply Chain, Data Entry, Technology, Engineering, Operations, Administrative

