Alignerr
Mechanical Engineering Expert - AI Content Specialist
Alignerr, New York, New York, us, 10261
Mechanical Engineering Expert - AI Content Specialist
Base pay range: $35.00/hr - $60.00/hr
Location: Remote, Contract (Hourly)
About the Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models. You’ll challenge advanced language models on topics such as fluid dynamics, thermodynamics, structural mechanics, and mechatronics—documenting every failure mode so we can harden model reasoning.
What You’ll Do
Develop Complex Problems: Design advanced mechanical engineering problems across domains such as FEA, heat transfer, kinematics, and material science to test AI performance.
Author Ground‑Truth Solutions: Create rigorous, step‑by‑step technical solutions and golden responses that the AI will use as a benchmark for learning.
Technical Auditing: Evaluate AI‑generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and adherence to engineering standards (e.g., ASME, ISO).
Refine Reasoning: Identify logical fallacies in AI reasoning—such as incorrect force distributions or energy conservation violations—and provide structured feedback to improve the model’s “thinking” process.
Requirements
Advanced degree (Master’s or PhD) in Mechanical Engineering, Aerospace Engineering, or a closely related field.
Strong foundational knowledge in core areas such as solid mechanics, fluid mechanics, CAD/CAM, and manufacturing processes.
Excellent analytical writing skills to communicate highly technical concepts and complex physical phenomena concisely.
High attention to detail when checking mathematical derivations, unit conversions, and physical system constraints.
No AI experience required.
Preferred
Prior experience with data annotation, data quality, or evaluation systems.
Proficiency in engineering software (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI‑generated code or workflows.
Benefits
Competitive pay and flexible remote work.
Collaboration with a team working on cutting‑edge AI projects.
Exposure to advanced LLMs and their training processes.
Freelance perks: autonomy, flexibility, and global collaboration.
Potential for contract extension.
Application Process (takes 15–20 min)
Submit your resume.
Complete a short screening.
Project matching and onboarding.
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
#J-18808-Ljbffr
Location: Remote, Contract (Hourly)
About the Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models. You’ll challenge advanced language models on topics such as fluid dynamics, thermodynamics, structural mechanics, and mechatronics—documenting every failure mode so we can harden model reasoning.
What You’ll Do
Develop Complex Problems: Design advanced mechanical engineering problems across domains such as FEA, heat transfer, kinematics, and material science to test AI performance.
Author Ground‑Truth Solutions: Create rigorous, step‑by‑step technical solutions and golden responses that the AI will use as a benchmark for learning.
Technical Auditing: Evaluate AI‑generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and adherence to engineering standards (e.g., ASME, ISO).
Refine Reasoning: Identify logical fallacies in AI reasoning—such as incorrect force distributions or energy conservation violations—and provide structured feedback to improve the model’s “thinking” process.
Requirements
Advanced degree (Master’s or PhD) in Mechanical Engineering, Aerospace Engineering, or a closely related field.
Strong foundational knowledge in core areas such as solid mechanics, fluid mechanics, CAD/CAM, and manufacturing processes.
Excellent analytical writing skills to communicate highly technical concepts and complex physical phenomena concisely.
High attention to detail when checking mathematical derivations, unit conversions, and physical system constraints.
No AI experience required.
Preferred
Prior experience with data annotation, data quality, or evaluation systems.
Proficiency in engineering software (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI‑generated code or workflows.
Benefits
Competitive pay and flexible remote work.
Collaboration with a team working on cutting‑edge AI projects.
Exposure to advanced LLMs and their training processes.
Freelance perks: autonomy, flexibility, and global collaboration.
Potential for contract extension.
Application Process (takes 15–20 min)
Submit your resume.
Complete a short screening.
Project matching and onboarding.
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
#J-18808-Ljbffr