Manufacturing Engineering Expert - AI Model Evaluation

Get paid to help build better AI.

Alpheva AI (www.Alpheva.ai), the Silicon Valley company that is building intelligence behind frontier AI, is looking for experienced manufacturing engineering professionals to participate in paid, project-based work that helps train and evaluate the next generation of AI systems.

You work remotely and asynchronously on projects that fit around your existing schedule.

Your manufacturing engineering expertise becomes the signal that helps AI systems learn what accurate, rigorous, and professionally sound manufacturing work actually looks like.

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What you'll do

Depending on the project, you may:

• Analyze: Review manufacturing processes, production systems, engineering specifications, process plans, quality data, and manufacturing scenarios.
• Evaluate: Review AI-generated manufacturing solutions, process recommendations, calculations, technical explanations, and reasoning.
• Validate: Determine whether AI-generated manufacturing outputs are technically accurate, practical, efficient, and consistent with manufacturing principles.
• Review: Assess process designs, production methods, tooling, quality systems, manufacturing documentation, and process improvement recommendations.
• Reason: Solve realistic manufacturing engineering problems and explain how an experienced manufacturing engineer would approach them.
• Compare solutions: Assess multiple AI-generated manufacturing solutions and identify meaningful differences in accuracy, efficiency, feasibility, quality, safety, and professional judgment.
• Create evaluations: Develop challenging manufacturing engineering tasks and criteria for measuring AI systems.
• Provide expert judgment: Identify errors, incorrect assumptions, process weaknesses, inefficiencies, quality risks, and technical issues in AI-generated manufacturing work.

Projects may involve manufacturing processes, production engineering, process optimization, quality control, lean manufacturing, CNC machining, automation, robotics, tooling, assembly, supply chain, industrial engineering, additive manufacturing, and other areas depending on your expertise.

Who we're looking for

We're looking for experienced manufacturing engineering professionals, not necessarily AI researchers.

You should have:

1. 3+ years of professional experience in manufacturing engineering, production engineering, industrial engineering, or a related field
2. Strong engineering and analytical reasoning skills
3. Experience working with real-world manufacturing processes and production systems
4. Ability to evaluate manufacturing analysis, processes, and recommendations critically
5. Strong attention to detail
6. Ability to identify errors, inconsistencies, incorrect assumptions, inefficiencies, and process limitations
7. Strong professional judgment
8. Ability to clearly explain why a manufacturing process or engineering solution is correct or incorrect
9. Experience with any of the following is valuable:
10. Manufacturing process design
11. Production engineering
12. Process optimization
13. Lean manufacturing and Six Sigma
14. Quality control and quality assurance
15. CNC machining and machining processes
16. Automation and robotics
17. Tooling and fixture design
18. Assembly and production systems
19. Additive manufacturing
20. Industrial engineering
21. Manufacturing systems and operations
22. Process validation and improvement
23. Engineering standards and specifications
24. You do not need prior experience working in AI.

What matters most is that you know how to do manufacturing engineering work well.

You might be asked to:

Review an AI-generated manufacturing engineering solution and identify the issues.

Evaluate whether a proposed manufacturing process is technically feasible and efficient.

Assess whether an AI-generated process plan satisfies specified manufacturing requirements.

Compare two AI-generated manufacturing solutions and determine which is stronger.

Evaluate an AI-generated recommendation for improving production efficiency or quality.

Review a manufacturing process and identify potential quality, safety, or reliability issues.

Analyze a realistic manufacturing scenario and explain your reasoning.

Identify process errors, incorrect assumptions, inefficiencies, inconsistencies, or unsupported conclusions.

Evaluate whether an AI-generated manufacturing recommendation is practical for real-world production.

Create challenging manufacturing engineering problems that can be used to evaluate AI systems.

The goal is not simply to determine whether manufacturing work looks reasonable.

The goal is to capture the judgment an experienced manufacturing engineer uses to determine whether manufacturing work actually makes sense.

Compensation

Paid project-based work.

Rates vary based on your experience, specialization, and project requirements. Your applicable rate and project scope will be shown before you commit to a project.

Some projects are short assignments. Others may involve recurring work over a longer period.

There is no fixed schedule and no minimum commitment.

Work arrangement

• Remote
• Asynchronous
• Project-based
• Flexible hours
• Work around your existing job or commitments
• Paid for qualifying project work

But producing a plausible-looking manufacturing answer is not the same as demonstrating strong manufacturing engineering judgment.

AI needs to learn how experienced manufacturing engineers:

• Analyze manufacturing processes
• Evaluate production methods
• Assess process efficiency and feasibility
• Identify quality issues and process risks
• Optimize manufacturing workflows
• Evaluate tooling and equipment
• Assess automation opportunities
• Apply manufacturing standards and specifications
• Identify errors and inconsistencies
• Recognize important edge cases
• Compare manufacturing solutions
• Explain technical conclusions clearly
• Determine when a manufacturing process is actually reliable

That's where you come in.

Your manufacturing engineering expertise helps shape how AI learns to reason about manufacturing.

How it works

1. Apply

Tell us about your manufacturing engineering background, experience, qualifications, and areas of expertise.

1. Get qualified

Complete a short assessment designed around the type of manufacturing engineering work you'll perform.

1. Get matched

When your experience matches an active project, we'll share the scope, requirements, and compensation.

1. Do the work

Complete projects remotely and asynchronously.

1. Get paid

Receive the agreed rate for your completed work.

Help teach AI how great manufacturing engineers actually work.

Apply directly through: https://alpheva.ai/experts/