Engineering Consultant for AI Model Training [Remote]

In this role, you will leverage your engineering expertise to train next-generation AI systems, influencing how these models learn, reason, and perform through high-quality, real-world input. Your domain knowledge is the key asset, and no prior experience in AI is required. Key Responsibilities:

• Advise client teams and core staff on complex scenarios within your engineering subdomain, providing actionable insights and recommendations.
• Participate in client calls to consult on potential pipelines and engineering problems, delivering expert analysis in real time.
• Collaborate with technical staff on research initiatives, identifying cutting-edge opportunities and shaping project direction in your area of expertise.
• Design and develop sample tasks that reflect real-world engineering challenges to guide new pipeline development.
• Assess and communicate tradeoffs, constraints, and risks under conditions of incomplete information and evolving requirements.
• Translate deep domain experience into structured outputs, such as reports, recommendations, and AI use case scenarios.
• Bridge the gap between technical and non-technical stakeholders, ensuring clarity in engineering rationale and technical decisions.

• Demonstrated hands-on expertise in at least one of the following subdomains: structural engineering, mechanical/thermal systems, manufacturing/production systems, robotics/automation, power systems/electrical infrastructure, embedded systems, or control/systems engineering.
• Proven ability to solve real-world engineering problems, balancing cost, safety, performance, and timeline considerations.
• Exceptional judgment and ownership in high-stakes, high-constraint environments.
• Deep experience navigating tradeoffs and identifying failure modes in complex systems.
• Outstanding problem solving, execution, and prioritization skills, especially under uncertainty.
• Clear, concise communication skills with the ability to explain technical decisions to non-engineering audiences.
• Track record of translating domain expertise into actionable recommendations and structured deliverables.

• Prior experience advising internal or external teams as a domain authority on complex engineering challenges.
• Exposure to AI/ML projects, especially around the integration of engineering and intelligent systems.
• Published research or significant contributions to open-source or industry forums in your subdomain.

This is not a traditional engineering position. As a member of the Super Star Program, you will consult and advise at the highest level, working collaboratively with client teams and core staff on the forefront of engineering innovation.