Mindrift — texnologiya kompaniyalarining sun’iy intellektni o‘qitish va baholash loyihalariga professional hissa qo‘shuvchilar hamda soha mutaxassislarini bog‘laydigan sun’iy intellekt iste’dodlari bozori va SaaS platformasi. Toloka tarkibida faoliyat yuritib, u yozuvchilar, muharrirlar, sifatni ta’minlash mutaxassislari, olimlar va boshqa fan sohasi ekspertlari bilan hamkorlik qiladi. Bu mutaxassislar o‘qitish ma’lumotlarini yaratadi, modellar xavfsizligi va mantiqiy fikrlashini baholaydi, media sifatini tekshiradi hamda sun’iy intellekt samaradorligi va ishonchliligini yaxshilash uchun real hayotdagi ssenariylarni ishlab chiqadi. Mindrift hissa qo‘shuvchilarni baholash va shaxsni tasdiqlash jarayonlari orqali tanlaydi va tekshiradi, so‘ng sun’iy intellektni o‘qitish va baholash yo‘nalishlarida moslashuvchan, haq to‘lanadigan loyiha imkoniyatlarini taqdim etadi.
Remote CFD Engineer and AI Trainer
Train and assess AI agents on advanced fluid simulation tasks, using CAD geometry, verified solutions, and Python checks. This part-time remote role is open to candidates in Egypt, Morocco, Algeria, and Tunisia.
Tavsif
- Train and assess AI agents on advanced fluid simulation tasks
- Set up and run simulations from CAD geometry
- Develop verified reference solutions
- Write Python checks to assess agent results
Talablar
- Degree in Mechanical or Aerospace Engineering, or a related discipline such as energy or oil and gas
- Several years of practical CFD experience in industry or research using OpenFOAM, ANSYS Fluent or CFX, or STAR-CCM+, including meshing
- Experience with verification and validation, including mesh independence studies and validation against experiments or benchmarks
- Proficiency with Python and GitHub
- English proficiency at B2 level or higher
- Preferred: background in aerospace, automotive, offshore, or turbomachinery
- Preferred: experience with multiphase or particle-laden flows
Imtiyozlar
- Work remotely on a flexible schedule with a laptop and reliable internet connection
- Apply your expertise to practical technology projects and build experience producing high-quality solutions for a global platform
- Performance-based bonuses for high-quality work and consistent delivery