Mechanical Engineering

Alignerr Corp.; Miami (FL); A distancia; USD 83.000 - 138.000; A tiempo parcial

Descripción de la vacante

Alignerr is seeking a Mechanical Engineering data trainer for a remote, hourly-contract role. You will design complex problems spanning FEA, heat transfer, and materials science to rigorously test AI performance and provide gold-standard solutions for model learning.

Ideal candidates hold an advanced degree in mechanical or aerospace engineering and can clearly communicate intricate physics and mathematics.

Formación

• Advanced degree in mechanical or aerospace engineering or closely related field.
• Strong fundamentals in core mechanics disciplines and applied math.
• Clear written and structured communication of complex concepts.

Responsabilidades

• Design complex engineering problems across FEA, heat transfer, kinematics, and materials science.
• Author ground-truth solutions with detailed step-by-step reasoning.
• Audit AI-generated outputs for accuracy, safety and standards compliance (ASME/ISO).
• Refine AI reasoning by identifying errors and providing actionable feedback.

Conocimientos

Fluid dynamics

Thermodynamics

Solid mechanics

CAD/CAM

Manufacturing processes

Engineering communication

Educación

Master's degree or PhD in Mechanical/Aerospace Engineering or related field

Herramientas

SolidWorks

MATLAB

ANSYS

Descripción del empleo

Mechanical Engineering — AI Data Trainer

About The Role

We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. Now we're looking for mechanical engineers to help us make those models smarter, more rigorous, and technically trustworthy. Your deep expertise in fluid dynamics, thermodynamics, structural mechanics, and related disciplines will be used to challenge, stress-test, and refine how advanced AI systems reason through real engineering problems. This is a unique opportunity to apply your technical knowledge in a completely new domain — and directly influence the next generation of AI.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Complex Engineering Problems — Craft advanced, multi-step problems across domains like FEA (Finite Element Analysis), heat transfer, kinematics, thermodynamics, and material science to rigorously test AI performance.
• Author Ground-Truth Solutions — Write detailed, step-by-step technical solutions and benchmark responses that AI models use as the gold standard for learning.
• Audit Technical Reasoning — Evaluate AI-generated outputs — including CAD logic, thermodynamic proofs, and material specifications — for accuracy, safety, and adherence to engineering standards (e.g., ASME, ISO).
• Refine AI Reasoning — Identify logical errors such as incorrect force distributions, energy conservation violations, or flawed assumptions, and provide structured feedback to improve how the model thinks.

Who You Are

• Advanced Degree — Master's (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
• Domain Expertise — Strong foundational knowledge in one or more core areas: solid mechanics, fluid mechanics, heat transfer, CAD/CAM, or manufacturing processes.
• Clear Technical Communicator — Able to explain complex physical phenomena and mathematical reasoning in clear, structured written form.
• Detail-Oriented — High precision when checking derivations, unit conversions, boundary conditions, and physical constraints.
• No AI experience required — if you know engineering, we can teach you the rest.

Nice to Have

• Prior experience with data annotation, data quality, or evaluation workflows
• Proficiency in engineering software such as SolidWorks, MATLAB, or ANSYS
• Familiarity with how large language models (LLMs) are trained or evaluated

Why Join Us

• Work on genuinely cutting-edge AI projects alongside top research labs
• Fully remote and flexible — work on your schedule, your terms
• Meaningful work: your expertise directly shapes how AI understands engineering
• Freelance autonomy with the structure of real, impactful projects
• Exposure to advanced LLMs and the forefront of AI development
• Potential for ongoing work and contract extension