Engineering Design Expert | $61/hr Remote
Position: Engineering Design Specialist and POD Lead
Type: Hourly Contract
Compensation: $46 $61/hour
Location: Remote
Commitment: 20 40 hours/week
Role Responsibilities
ā¢ Develop simulation-basedQ engineering problems to train advanced AI models.
ā¢ Create realistic design challenges involving trade-offs, component sizing, and optimization.
ā¢ Validate engineering solutions using physics-based simulations and domain expertise.
ā¢ Design multi-step problem sets including reference solutions, edge cases, and evaluation criteria.
ā¢ Analyze AI outputs for correctness, feasibility, and physical realism.
ā¢ Ensure accuracy in units, boundary conditions, convergence, and system behavior.
ā¢ Document problems, solutions, and evaluation logic in a structured and clear manner.
ā¢ Collaborate with cross-functional teams to improve AI model performance.
Requirements:
ā¢ Master s or PhD in Mechanical Engineering, Electrical Engineering, or a related field.
ā¢ Strong hands-on engineering design experience (not just analysis).
ā¢ Strong expertise in at least one engineering domain (Mechanical, Electrical, Aerospace, Chemical, Robotics, etc.).
ā¢ Proficiency in at least one simulation tool (FEA, CFD, SPICE, RF tools, etc.).
ā¢ Strong Python (or equivalent) scripting skills.
ā¢ Ability to design complex, simulation-based problems involving trade-offs and optimization.
ā¢ High attention to detail including units, boundary conditions, and physical accuracy.
ā¢ Strong analytical thinking with the ability to evaluate edge cases and design correctness.
ā¢ Excellent written communication and ability to work independently in a remote setup.
ā¢ Availability with at least 20- 40hrs per week with 4 hours overlap with PST.
Application Process:
ā¢ Apply/Easy Apply and check email for application form
ā¢ Fill Application Form
ā¢ ICF + Vetsmith Evaluation (after shortlisting to be completed within 24 hours)
ā¢ Interview Round
Type: Hourly Contract
Compensation: $46 $61/hour
Location: Remote
Commitment: 20 40 hours/week
Role Responsibilities
ā¢ Develop simulation-basedQ engineering problems to train advanced AI models.
ā¢ Create realistic design challenges involving trade-offs, component sizing, and optimization.
ā¢ Validate engineering solutions using physics-based simulations and domain expertise.
ā¢ Design multi-step problem sets including reference solutions, edge cases, and evaluation criteria.
ā¢ Analyze AI outputs for correctness, feasibility, and physical realism.
ā¢ Ensure accuracy in units, boundary conditions, convergence, and system behavior.
ā¢ Document problems, solutions, and evaluation logic in a structured and clear manner.
ā¢ Collaborate with cross-functional teams to improve AI model performance.
Requirements:
ā¢ Master s or PhD in Mechanical Engineering, Electrical Engineering, or a related field.
ā¢ Strong hands-on engineering design experience (not just analysis).
ā¢ Strong expertise in at least one engineering domain (Mechanical, Electrical, Aerospace, Chemical, Robotics, etc.).
ā¢ Proficiency in at least one simulation tool (FEA, CFD, SPICE, RF tools, etc.).
ā¢ Strong Python (or equivalent) scripting skills.
ā¢ Ability to design complex, simulation-based problems involving trade-offs and optimization.
ā¢ High attention to detail including units, boundary conditions, and physical accuracy.
ā¢ Strong analytical thinking with the ability to evaluate edge cases and design correctness.
ā¢ Excellent written communication and ability to work independently in a remote setup.
ā¢ Availability with at least 20- 40hrs per week with 4 hours overlap with PST.
Application Process:
ā¢ Apply/Easy Apply and check email for application form
ā¢ Fill Application Form
ā¢ ICF + Vetsmith Evaluation (after shortlisting to be completed within 24 hours)
ā¢ Interview Round