Remote | Mechanical Engineering Expert (MSc. or PhD) — $60–$120/hour

24-Mag • New York, NY

7d • Remote

About The Position

24-MAG LLC is seeking experienced mechanical engineering professionals for a fully remote, freelance consulting engagement supporting advanced AI training and evaluation initiatives. The work applies expertise in engineering design, applied mechanics, computational modelling, simulation, Python programming, and AI-assisted coding workflows. Consultants will develop, solve, review, and validate complex engineering problems involving structural mechanics, thermal systems, mechanical design, and multiphysics simulation. The role combines engineering principles with computational analysis, numerical modelling, scientific programming, and coding-agent-assisted workflows. It is coding-intensive and requires practical experience using coding agents.

The work includes developing technically rigorous engineering problems and computational models; preparing geometries, meshes, material definitions, simulation inputs, loads, boundary conditions, and solver parameters; and assessing simulation results for numerical consistency, physical plausibility, and compliance with requirements. Consultants will also create Python-based engineering solutions, automate analytical and simulation workflows, and review code and AI-generated analyses for technical correctness and reproducibility.

Consultants will create realistic engineering questions and evaluation tasks, develop reference solutions, assess AI-generated work, identify technical errors, and provide detailed feedback. They will review designs, models, and simulation outputs, document modelling and validation approaches, and apply rigorous quality standards. The engagement is worldwide and fully remote, with approximately 15 hours per week and a flexible schedule. Compensation is output-based, paid per completed task meeting specifications, with an advertised rate range of $60–$120 per hour. Task specifications and compensation depend on individual assignments. Selection may include screening questions, an approximately 30-minute AI interview, and a hiring manager review. Selected professionals should be ready to begin their first assignment within 24–48 hours after onboarding. Work must not use confidential or proprietary information belonging to an employer, client, institution, or other third party.

Requirements

• Master's degree (MSc/MS) or PhD in Mechanical Engineering or a closely related engineering discipline, or substantial equivalent expertise in applied mechanics and mechanical engineering fundamentals.
• Strong understanding of classical mechanics, mechanical design, engineering analysis, and physical modelling principles.
• Demonstrated experience developing analytical, computational, or simulation-based solutions to complex engineering problems.
• Practical experience using coding agents in technical or engineering workflows.
• Strong Python programming skills, particularly for scientific computing, numerical analysis, simulation, or engineering automation.
• Experience working with structural, thermal, mechanical, or multiphysics engineering problems.
• Familiarity with numerical modelling, finite element analysis (FEA), computational meshes, and engineering simulation methodologies.
• Practical experience defining material properties, loads, contacts, constraints, boundary conditions, and solver inputs.
• Ability to translate physical systems and engineering requirements into computational models and reproducible technical solutions.
• Strong understanding of engineering design constraints, physical validation, and numerical solution accuracy.
• Ability to review generated engineering code and identify numerical, logical, or physical inconsistencies.
• Strong analytical reasoning, mathematical problem-solving, critical-thinking, and technical research capabilities.
• Exceptional attention to detail and commitment to accurate, reproducible, and well-documented engineering work.
• Ability to communicate sophisticated engineering concepts, modelling decisions, and computational findings clearly.
• Strong independent working skills and ability to manage complex technical assignments in a remote environment.
• Ability to complete work without using confidential or proprietary information belonging to an employer, client, institution, or other third party.

Nice To Haves

• Familiarity with Python-based scientific computing tools and relevant engineering simulation environments.
• Experience automating engineering workflows or integrating AI-assisted coding tools into technical processes.
• Prior experience with AI model training or evaluation projects.

Responsibilities

• Develop technically rigorous engineering problems involving mechanical design, applied mechanics, structural analysis, and physical systems.
• Analyze engineering requirements and translate them into defined analytical or computational tasks.
• Apply engineering principles to realistic scenarios, evaluating design assumptions, material properties, operating conditions, and applicable requirements.
• Develop analytical and computational models for mechanical, structural, thermal, and multiphysics systems.
• Create or modify engineering geometries, computational meshes, material definitions, and simulation inputs.
• Define loads, boundary conditions, contacts, constraints, and solver parameters for simulations.
• Conduct engineering simulations and assess physical behavior, design performance, and compliance with specified requirements.
• Review simulation results for numerical consistency, physical plausibility, and alignment with engineering design constraints.
• Develop Python-based solutions for engineering analysis, numerical calculations, simulation workflows, and technical problem-solving.
• Use coding agents to support engineering computation, code development, debugging, and workflow execution.
• Automate analytical processes, simulation setup, data processing, and result verification using programming expertise.
• Evaluate generated code for technical correctness, reproducibility, and consistency with engineering principles.
• Create realistic engineering questions, computational challenges, and simulation-based evaluation tasks for advanced AI systems.
• Develop accurate reference solutions supported by analytical reasoning, numerical methods, and reproducible computational results.
• Review and validate AI-generated engineering analyses, Python implementations, simulation configurations, and technical explanations.
• Identify errors in physical assumptions, engineering calculations, numerical procedures, and computational implementations.
• Review engineering designs, analytical models, and simulation outputs for accuracy, completeness, and technical consistency.
• Assess whether generated models and engineering artifacts satisfy physical requirements and design constraints.
• Document modelling approaches, validation procedures, and engineering conclusions.
• Provide detailed technical feedback to improve AI performance in mechanical engineering and computational problem-solving.

What This Job Offers

• Job Type: Part-time
• Career Level: Senior