We are sharing a specialised consulting opportunity for experienced Mechanical Engineering professionals with strong expertise in engineering mechanics, thermodynamics, fluid mechanics, heat transfer, structural analysis, vibrations, manufacturing, simulation, and R&D to contribute to an advanced AI training and mechanical-engineering evaluation project.
Selected professionals will solve and review advanced mechanical-engineering problems, assess AI-generated technical responses, analyse realistic design and R&D scenarios, and provide rigorous feedback grounded in professional engineering practice.
No prior experience in AI is required.
Key Responsibilities
- Mechanical, Thermal & Fluid Analysis
- Solve advanced mechanical-engineering problems using first-principles reasoning
- Analyse statics, dynamics, loads, stresses, deformation, and structural behaviour
- Evaluate thermodynamic systems, energy balances, heat transfer, and thermal performance
- Analyse fluid-flow behaviour, pressure, velocity, losses, and related assumptions
- Assess boundary conditions, constraints, modelling choices, and alternative solution approaches
- Simulation, Vibrations & Engineering Design Review
- FEA and simulation setups, including meshes, loads, constraints, and material assumptions
- Evaluate structural and thermal results against analytical calculations or expected physical behaviour
- Analyse vibration, resonance, damping, natural frequencies, and dynamic response
- Incorporate manufacturing, product-development, reliability, and practical design considerations
- Identify modelling errors, unrealistic assumptions, or opportunities to improve robustness and manufacturability
- AI Evaluation & Technical Review
- Review AI-generated mechanical-engineering responses for technical correctness and completeness
- Identify calculation errors, weak assumptions, or flawed engineering reasoning
- Compare alternative approaches and distinguish substantive issues from acceptable solutions
- Provide clear, structured written feedback supporting model improvement
- Collaborate remotely with other subject-matter experts and project participants
Ideal Profile
- MS or PhD in Mechanical Engineering, or BS in Mechanical Engineering with 8+ years of relevant industry experience
- At least 5 years of hands-on experience in mechanical design, analysis, or R&D
- Strong expertise in statics, dynamics, thermodynamics, fluid mechanics, and heat transfer
- Demonstrated proficiency with FEA, structural analysis, and vibration or dynamic-system analysis
- Ability to combine finite-element methods, hand calculations, and experimental validation
- Familiarity with manufacturing and product-development environments
- Knowledge of ASME BPVC, related ASME codes, and design-for-reliability practices is advantageous
- Experience with ANSYS, Abaqus, Nastran, or comparable simulation tools is valuable
- Familiarity with CAD platforms is beneficial
- Strong analytical, critical-thinking, and technical communication skills
- Evidence of rigorous technical-review or problem-authoring experience, including standards work, publications, awards, research recognition, or comparable achievements, is highly valued
- No prior AI-training or model-evaluation experience is required
Engagement Details
- Independent contractor engagement
- Fully remote
- Displayed compensation range: $60–$100/hour
- Actual compensation structure is output-based, with payment made per task that meets project specifications
- Task completion time may vary depending on experience and workflow
- Minimum weekly submission requirements apply; the source does not specify the exact number of required tasks
- Work will involve engineering mechanics, thermodynamics, fluid mechanics, heat transfer, FEA, vibrations, manufacturing, technical analysis, and AI-generated engineering-content evaluation
- Roles are typically filled within approximately 48 hours
- Selected experts are expected to begin initial tasks within approximately 24–48 hours after onboarding
- Project scope, workload, engineering topics, and evaluation standards may evolve depending on project requirements
- Work must be completed without using confidential or proprietary information belonging to any employer, client, manufacturer, research institution, engineering organisation, or other third party
About the Platform
- This opportunity is available through 24-MAG LLC
- We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams
- By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy