PhD Engineer (Electrical, Mechanical, Chemical) - praca zdalna

Firma micro1 szuka osoby na stanowisko PhD Engineer (Electrical, Mechanical, Chemical). Oferta należy do kategorii „IT i programowanie” i jest w pełni zdalna. Firma nie ogranicza miejsca zamieszkania kandydata, więc zgłoszenie można wysłać z dowolnego miejsca.

Ogłoszenie wyróżnia jedno narzędzie: Machine Learning. To doświadczenie właśnie z nim przeważy.

Firma podała wynagrodzenie: $80 - $90 za godzinę. Ogłoszenie nie stawia żadnych warunków co do godzin pracy.

Ta oferta przeszła automatyczną kontrolę: na listę nie trafiają ogłoszenia wymagające zagranicznego pozwolenia na pracę, sponsorowania wizy, określonego obywatelstwa ani zamieszkania we wskazanym kraju.

Role Title: PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Scope of Work

* Deliver authoritative written responses to complex engineering prompts in your area of expertise

* Review and interpret scientific literature to provide contextually accurate and current insights

* Design and document realistic experimental scenarios based on advanced engineering principles

* Analyze data and interpret results to inform AI training datasets with precision

* Apply sophisticated calculus and quantitative methodologies to problem-solving tasks

* Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines

* Collaborate with project coordinators to refine prompt response quality as needed

Preferred Qualifications

* PhD in Electrical, Mechanical, or Chemical Engineering

* Demonstrated expertise in calculus, data analysis, research methodology, and experimental design

* Exceptional written and verbal communication skills with the ability to convey complex concepts clearly

* Strong literature review capabilities and familiarity with synthesizing scientific knowledge

* Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)

* Proven ability to produce "golden response" level deliverables with accuracy and completeness

* Detail-oriented mindset and commitment to high-quality, impactful contributions

Originally posted on Himalayas