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Mechanical Engineer

HelixRecruit

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Original Job Summary

About the Mechanical Engineer Role

Our partner is collaborating with a top AI research lab to innovate in advanced AI systems. As a Mechanical Engineer, you will contribute to developing and evaluating AI systems designed to replicate real-world mechanical engineering 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 enhance models.
  • Ensure technical accuracy and academic precision in engineering content.

Ideal Qualifications

A degree in Mechanical Engineering, exceptional written and verbal communication skills, strong attention to detail, and analytical thinking.

Project Timeline & Work Details

  • Start Date: Immediate
  • Duration: 1–2 months
  • Commitment: Part-time (20 hours/week with potential extension)
  • Schedule: Fully remote and asynchronous with flexible hours

Compensation & Application Process

  • Competitive hourly rate ($65-$80 USD/hr)
  • Upload your resume (portfolio or notebook links if available) along with an application form.
  • Participate in a short 15-minute AI interview.
  • Complete a paid 4-hour work trial assessing your ability to interpret guidelines and deliver math-specific output.

Key skills/competency

  • Mechanical Engineering
  • AI Systems
  • Technical Evaluation
  • Problem Solving
  • Feedback
  • Collaboration
  • Asynchronous Work
  • Detail Orientation
  • Analytical Thinking
  • Communication

How to Get Hired at HelixRecruit

🎯 Tips for Getting Hired

  • Research HelixRecruit's culture: Study their mission and recent projects online.
  • Customize your resume: Emphasize mechanical and AI skills.
  • Prepare for AI interviews: Practice clear, concise technical explanations.
  • Showcase collaboration skills: Provide examples of remote teamwork.

📝 Interview Preparation Advice

Technical Preparation

Review mechanical design principles.
Study AI system evaluation metrics.
Practice technical writing and documentation.
Brush up on engineering problem-solving methods.

Behavioral Questions

Describe remote collaboration experiences.
Explain handling complex feedback.
Discuss managing deadlines independently.
Share examples of analytical thinking.