Mechanical Engineering Specialist - AI Trainer

AfterQuery; San Antonio (TX); Remote; USD 83,000 - 138,000; Full time

Benefits offered by this job

Remote project-based work

Job summary

AfterQuery is a remote, project-based role for mechanical engineers with 2-4 years of hands-on CAD and mechanical design experience. You will handle design, analysis, documentation, and product development support on a 2-3 week engagement, typically 10-20 hours per week.

Compensation is strong, with pay for projects up to $100/hour, reflecting the real-world engineering challenges and portfolio-building opportunities.

Qualifications

• 2-4 years of professional experience in mechanical engineering or related field.
• Proficiency in CAD platforms and ability to produce detailed drawings to standards.
• Ability to work independently and manage tasks with minimal supervision.

Responsibilities

• Create, review, and iterate on mechanical designs and CAD models.
• Develop engineering drawings, BOMs, and technical documentation.
• Perform stress, tolerance, and DFM analyses as needed.
• Support product development from concept to prototype and production-ready design.
• Document design decisions and methodologies clearly.

Skills

Problem solving

Independent work

Education

Bachelor's degree in Mechanical Engineering

Tools

SolidWorks

AutoCAD

Fusion 360

CATIA

NX

Job description

This is a remote, project-based role for mechanical engineers with 2-4 years of hands-on experience in CAD and mechanical design. You will complete tasks spanning mechanical design, engineering analysis, technical documentation, and product development support. Work is over the next 2-3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10-20 hours per week for the projects you accept. This position offers exceptional pay, exposure to real-world engineering challenges, and a strong addition to your professional portfolio.

Why Apply

• Flexible Time Commitment - Work on your schedule while tackling meaningful engineering challenges
• Startup Exposure - Work directly with an early-stage Y Combinator-backed company, gaining hands-on experience that sets you apart
• Exceptional Pay - Project-based pay up to $100/hour
• Portfolio Building - Gain experience solving complex, real-world mechanical design and engineering problems
• Professional Growth - Sharpen your skills on varied, challenging design tasks across industries and applications

Responsibilities

• Create, review, and iterate on mechanical designs and CAD models for components, assemblies, and systems
• Develop detailed engineering drawings, BOMs, and technical documentation to manufacturing standards
• Perform engineering analysis including stress, tolerance, and design for manufacturability (DFM) assessments
• Support product development workflows from concept through prototype and into production-ready design
• Document design decisions, assumptions, and methodologies clearly and reproducibly

Required Qualifications

• 2-4 years of professional experience in mechanical engineering, product design, or a related field
• Strong proficiency in at least one major CAD platform (e.g., SolidWorks, AutoCAD, Fusion 360, CATIA, NX, or equivalent)
• Demonstrated ability to produce detailed mechanical designs and engineering drawings to industry standards
• Strong problem-solving skills and ability to work independently on technical tasks
• Bachelor's degree or higher in Mechanical Engineering, Product Design, or a related engineering field

Preferred Qualifications

• Experience with FEA or simulation tools (e.g., ANSYS, Abaqus, SolidWorks Simulation, or similar)
• Familiarity with manufacturing processes including CNC machining, injection molding, sheet metal fabrication, or additive manufacturing
• Experience working in hardware startups, product development firms, or fast-paced engineering environments
• Background in systems integration, mechatronics, or electromechanical product design

About AfterQuery

AfterQuery is a research lab investigating the boundaries of artificial intelligence through novel datasets and experimentation. We believe great AI comes from exceptional, human-generated data.

We're backed by top investors, including Y Combinator and Box Group, and support all leading AI labs.