Mechanical Engineering
Alignerr
Job Description
About The Job At Alignerr, we partner with the worldâs leading AI research teams and labs to build and train cuttingâedge AI models. Youâll challenge advanced language models on topics like fluid dynamics, thermodynamics, structural mechanics, and mechatronicsâdocumenting every failure mode so we can harden model reasoning. Organization Alignerr Position: Mechanical Engineering - AI Data Trainer Type: Hourly Contract Compensation: $35â$60 /hour Location: Remote Commitment: 10â40 hours/week What Youâll Do Develop Complex Problems: Design advanced mechanical engineering problems across domains like FEA (Finite Element Analysis), heat transfer, kinematics, and material science to test AI performance.
Author GroundâTruth Solutions: Create rigorous, stepâbyâstep technical solutions and "golden responses" that the AI will use as a benchmark for learning. Technical Auditing: Evaluate AIâgenerated 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 reasoningâsuch as incorrect force distributions or energy conservation violationsâand provide structured feedback to improve the modelâs "thinking" process.
Requirements Advanced Degree: Masters (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field. Domain Expertise: Strong foundational knowledge in core areas such as solid mechanics, fluid mechanics, CAD/CAM, or manufacturing processes. Analytical Writing: The ability to communicate highly technical concepts and complex physical phenomena clearly and concisely in written form.
Attention to Detail: High level of precision 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 concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AIâgenerated code or workflows. Why Join Us Competitive pay and flexible remote work. Collaborate with a team working on cuttingâedge AI projects.
Exposure to advanced LLMs and how theyâre trained. Freelance perks: autonomy, flexibility, and global collaboration. Potential for contract extension.
Application Process (Takes 15â20 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