PhD Engineer (Electrical, Mechanical, Chemical) - Remote-Stelle

micro1 sucht PhD Engineer (Electrical, Mechanical, Chemical). Die Stelle liegt im Bereich IT und Programmierung und ist vollständig remote. Das Unternehmen schränkt den Wohnort der Kandidatin nicht ein, Sie können sich also von überall bewerben.

Die Anzeige hebt Machine Learning hervor, Erfahrung mit genau diesem Werkzeug gibt also den Ausschlag.

Das Unternehmen hat die Vergütung veröffentlicht: $80 - $90 pro Stunde. Zu den Arbeitszeiten stellt die Anzeige keine Bedingung.

Diese Stelle hat eine automatische Prüfung durchlaufen: Anzeigen, die eine ausländische Arbeitserlaubnis, Visa-Sponsoring, eine bestimmte Staatsangehörigkeit oder den Wohnsitz in einem genannten Land verlangen, kommen nicht auf die Liste.

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