Mechanical Engineering

Alignerr; Delhi; À distance; INR 5 189 000 - 11 675 000; Plein temps

Avantages offerts par ce poste

Fully remote

Freelance collaboration

Résumé du poste

Alignerr Corp. seeks a Mechanical Engineer to join as an AI Trainer. You will design complex engineering problems and craft precise solutions to stress-test AI models, spanning fluids, thermodynamics, structural mechanics, and CAD/CAM.

This fully remote contract offers flexible hours and opportunities to influence AI reasoning in engineering contexts. Ideal candidates hold an advanced degree (MS or PhD) in ME/AE, with strong CAD/FEA knowledge and clear technical writing ability.

Qualifications

• Master’s degree or PhD in Mechanical/Aerospace Engineering.
• Strong domain knowledge in core mechanical engineering areas.
• Ability to explain complex physical phenomena in precise written form.
• Attention to mathematical derivations, unit consistency, and physical constraints.

Responsabilités

• Design and stress-test AI problems across ME topics.
• Create gold-standard, step-by-step solutions for AI training.
• Audit AI outputs for technical accuracy and physical validity.
• Provide structured feedback to improve AI reasoning and reliability.
• Document failure modes to guide research teams.

Connaissances

Solid mechanics

Fluid mechanics

Thermodynamics

CAD/CAM

Mathematical derivations

Formation

Master’s or PhD in Mechanical or Aerospace Engineering

Outils

SolidWorks

MATLAB

ANSYS

Description du poste

About The Role

We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers to make it happen. As an AI Trainer, you'll use your deep domain knowledge to challenge, test, and refine how AI reasons through complex engineering problems.

Mechanical Engineering – AI Trainer

About The Role

We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers to make it happen. As an AI Trainer, you'll use your deep domain knowledge to challenge, test, and refine how AI reasons through complex engineering problems.

This is a unique opportunity to work at the intersection of engineering and artificial intelligence, contributing directly to the next generation of technical AI systems — all on a flexible, remote contract basis.

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

What You'll Do

• Design Complex Engineering Problems — Craft advanced, multi-step problems spanning fluid dynamics, thermodynamics, structural mechanics, FEA, heat transfer, kinematics, and materials science to rigorously stress-test AI capabilities
• Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions that serve as gold-standard benchmarks for AI learning and evaluation
• Audit AI Reasoning — Review and evaluate AI-generated outputs — including CAD logic, thermodynamic proofs, and material specifications — for technical accuracy, physical validity, and adherence to engineering standards (e.g., ASME, ISO)
• Identify & Correct Reasoning Failures — Spot logical errors such as incorrect force distributions, energy conservation violations, or flawed unit analysis, and provide structured feedback to improve how the model thinks
• Document Failure Modes — Systematically record model weaknesses to help research teams harden AI reasoning across mechanical engineering domains

Who You Are

• Advanced Degree — Master's (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
• Strong Domain Expertise — Deep knowledge in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
• Clear Technical Communicator — Able to explain complex physical phenomena and mathematical derivations in precise, well-structured written form
• Detail-Oriented — High level of precision when reviewing mathematical derivations, unit conversions, dimensional analysis, and physical system constraints
• No prior AI experience required — we'll get you up to speed

Nice to Have

• Experience with data annotation, technical writing, or quality evaluation
• Proficiency in engineering software such as SolidWorks, MATLAB, ANSYS, or similar tools
• Familiarity with FEA workflows, CFD simulation, or mechatronics systems

Why Join Us

• Work on genuinely cutting-edge AI projects alongside world-class research teams
• Fully remote and flexible — work independently on your own schedule
• Apply your engineering expertise in a novel, intellectually stimulating way
• Gain rare, hands-on exposure to how advanced large language models are trained and evaluated
• Freelance perks: autonomy, variety, and global collaboration
• Potential for ongoing work and contract extension