Mechanical Engineering — AI Data Trainer
About The Role
We're partnering with the world's leading AI research labs to build smarter, more reliable AI — and we need mechanical engineers who know their stuff. As an AI Data Trainer, you'll push advanced language models to their limits, expose their blind spots, and help shape how the next generation of AI reasons through complex engineering problems.

This is a rare chance to apply your deep technical knowledge in a completely new domain — one that's actively defining the future of technology.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week

What You’ll Do

Design Challenging Problems — Craft advanced mechanical engineering problems across domains like FEA, heat transfer, kinematics, fluid dynamics, thermodynamics, and material science to stress-test AI reasoning

Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions and benchmark responses that AI models learn from and are evaluated against

Audit Technical Accuracy — Review AI-generated outputs including CAD logic, thermodynamic proofs, and material specifications for correctness, safety, and compliance with engineering standards (e.g., ASME, ISO)

Improve AI Reasoning — Identify logical errors such as incorrect force distributions, energy conservation violations, or flawed material assumptions,



and provide structured feedback to improve model performance

Who You Are

Currently pursuing or holding a 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, thermodynamics, CAD/CAM, or manufacturing processes

Able to communicate complex technical concepts clearly and precisely in writing

Detail-oriented with a sharp eye for mathematical derivations, unit conversions, and physical system constraints

Self-motivated and comfortable working independently on an async schedule

No prior AI experience required

Nice to Have

Experience with data annotation, quality evaluation, or technical review workflows

Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS

Background in aerospace, mechatronics, robotics, or manufacturing engineering

Why Join Us

Work on cutting-edge AI projects alongside top research labs and institutions

Fully remote and flexible — work on your own schedule, from anywhere

Gain rare, first‑hand exposure to how advanced large language models are trained and evaluated

Freelance perks: autonomy, variety, and collaboration with a global network of experts

Potential for ongoing work and contract extension based on performance

#J-18808-Ljbffr

📌 Mechanical Engineering (Alberta)
🏢 Alignerr
📍 Alberta