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Mechanical Engineer
Great Value Hiring
HybridHybrid
Original Job Summary
About the Role
The Mechanical Engineer role at Great Value Hiring involves contributing to the development and evaluation of advanced AI systems designed to replicate real-world mechanical engineering workflows. This position leverages your math and statistics expertise to build the future of AI-driven quantitative workflows.
Key Responsibilities
- Create and assess complex mechanical engineering problems.
- Evaluate AI-generated responses for conceptual accuracy and technical rigor.
- Provide clear written feedback on engineering problem sets, designs, and solutions.
- Collaborate asynchronously with AI researchers and engineers to iterate and improve model performance.
- Ensure technical accuracy and academic precision in all engineering content.
Ideal Qualifications
Applicants should hold a Degree in Mechanical Engineering, possess exceptional written and verbal communication skills, and have strong attention to detail with analytical thinking.
Project Timeline & Work Arrangement
- Start Date: Immediate
- Duration: 1–2 months
- Commitment: Part-time ~20 hours/week (potential to extend to 40 hours/week)
- Schedule: Fully remote and asynchronous – flexible working hours
Application & Onboarding Process
- Upload your resume along with portfolio or notebook links if available.
- Participate in a short, 15-minute conversational interview.
- Complete a paid, 4-hour work trial assessment to showcase your skills.
Key skills/competency
- Mechanical Engineering
- Problem Solving
- AI Evaluation
- Technical Feedback
- Remote Collaboration
- Quantitative Analysis
- Mathematical Modeling
- Statistical Analysis
- Research Collaboration
- Detail Orientation
How to Get Hired at Great Value Hiring
🎯 Tips for Getting Hired
- Research Great Value Hiring's culture: Learn their mission and current projects.
- Customize your resume: Tailor experience to mechanical engineering and AI.
- Highlight technical skills: Emphasize math and statistics expertise.
- Prepare for interviews: Practice clear, concise problem solving examples.
📝 Interview Preparation Advice
Technical Preparation
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Review mechanical engineering fundamentals.
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Practice AI evaluation case studies.
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Brush up on math and stats.
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Study remote collaboration tools.
Behavioral Questions
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Describe a challenging remote project.
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Explain teamwork in asynchronous environments.
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Detail problem-solving under pressure.
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Discuss giving and receiving technical feedback.