Mindrift
Mindrift
Mindrift — технологиялық компаниялардың жасанды интеллектіні оқыту және бағалау жобаларына кәсіби үлес қосушылар мен салалық сарапшыларды біріктіретін жасанды интеллект мамандарының нарығы және SaaS платформасы. Toloka құрамында жұмыс істей отырып, ол жазушылармен, редакторлармен, сапаны бақылау мамандарымен, ғалымдармен және басқа да пәндік сарапшылармен ынтымақтасады. Бұл мамандар оқыту деректерін жасайды, модельдердің қауіпсіздігі мен пайымдау қабілетін бағалайды, медиа сапасын тексереді және жасанды интеллектінің өнімділігі мен сенімділігін арттыру үшін шынайы өмірдегі сценарийлерді әзірлейді. Mindrift үлес қосушыларды бағалау және жеке басын растау рәсімдері арқылы іріктеп, тексереді, содан кейін жасанды интеллектіні оқыту және бағалау бағыттарында икемді, ақылы жобалар ұсынады.

Freelance Mechanical CAD and Simulation Engineer AI Trainer - Remote Japan

Train and assess AI agents in real CAD environments using mechanical design and simulation expertise. Create geometry, develop reference solutions, and evaluate engineering tasks for a global platform.

Сипаттама

  • Train and assess AI agents completing complex engineering tasks in a real CAD environment
  • Create mechanical part geometry
  • Develop reference solutions for engineering tasks
  • Evaluate AI-generated attempts
  • Collaborate with CFD engineers who simulate the resulting geometry
  • Complete project work estimated at 10–20 hours per week during active phases

Талаптар

  • Degree in Mechanical Engineering, Aerospace Engineering, or a related discipline
  • At least five years of professional, hands-on CAD modeling experience with CATIA, SolidWorks, Siemens NX, Creo, or a comparable system
  • Experience preparing geometry for simulation with ANSYS or a similar tool is advantageous
  • Own an active professional CAD license
  • Working knowledge of Python and GitHub
  • English proficiency at B2 level or higher

Артықшылықтар

  • Work remotely on a flexible schedule with a laptop and reliable internet connection
  • Apply engineering expertise to real-world technology projects while developing high-quality solutions for a global platform
  • Access performance-based bonuses tied to quality and consistent delivery

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