PhD Engineer (Electrical, Mechanical, Chemical) - poste à distance

L'entreprise micro1 recrute : PhD Engineer (Electrical, Mechanical, Chemical). Le poste relève de la catégorie IT et développement et se fait entièrement à distance. Aucune restriction n'est posée sur le lieu de résidence du candidat, vous pouvez donc postuler de partout.

L'annonce met en avant Machine Learning : c'est l'expérience de cet outil précis qui fera la différence.

L'entreprise a publié la rémunération : $80 - $90 par heure. L'annonce ne pose aucune condition d'horaires.

Cette offre a passé un contrôle automatique : les annonces qui exigent un permis de travail étranger, un parrainage de visa, une nationalité précise ou une résidence dans un pays nommé n'entrent pas dans la 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