PhD Engineer (Electrical, Mechanical, Chemical)

aitrainer; Deutschland; Vor Ort; EUR 96.997 - 109.122; Teilzeit

Zusammenfassung

aitrainer is seeking a PhD Engineer (Electrical, Mechanical, Chemical) for a remote contractor role. The position demands expertise in calculus, data analysis, and engineering principles to enhance AI systems through high-quality data insights.

Key responsibilities include delivering detailed responses to engineering prompts and synthesizing scientific literature. The ideal candidate has exceptional communication skills and a PhD in a relevant field. Compensation ranges from $80 to $90 per hour.

Qualifikationen

• 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.

Aufgaben

• Deliver authoritative written responses to complex engineering prompts.
• Review and interpret scientific literature to provide contextually accurate insights.
• Design and document realistic experimental scenarios based on advanced engineering principles.
• Analyze data and interpret results to inform AI training datasets.
• Collaborate with project coordinators to refine prompt response quality.

Kenntnisse

Calculus

Data Analysis & Interpretation

Literature Review

Experimental Design

Research Methodology

Ausbildung

PhD in Electrical, Mechanical, or Chemical Engineering

Jobbeschreibung

Job Overview

PhD Engineer (Electrical, Mechanical, Chemical)

Contractor, Remote

Pay: $80 – $90 per hour

micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real‑world expertise into high‑quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Required Skills

• Calculus
• Data Analysis & Interpretation
• Literature Review
• Experimental Design
• Research Methodology

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