Civil Engineer With Python Experience
hace 6 días
Please submit your resume in English and indicate your level of English. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. The Role We are seeking experienced Civil Engineers with Python skills to train and evaluate AI models on realistic civil engineering problems. This role emphasizes engineering judgment and analytical rigor, not drafting or software development. What You’ll Do You may be asked to: Design technically rigorous civil engineering problems grounded in practice. Evaluate AI solutions for engineering accuracy and assumptions. Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs. Improve AI reasoning to align with codes, standards, and professional logic. Apply structured scoring criteria to assess model performance. How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. Requirements Bachelor’s, Master’s, or PhD in Civil Engineering or related field 3+ years professional or advanced academic experience in one or more of: Structural, Geotechnical, Transportation Construction Engineering & Management Advanced English proficiency (C1+) Ability to design computationally intensive, non-trivial problems Why Join Earn up to $15/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems #J-18808-Ljbffr
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