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Why this grade This listing scored 34/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Role Title: simulation/CAE-heavy mechanical engineering Expert
Role Type: Contractor
Location: Remote
micro1 is engaging simulation/CAE-heavy mechanical engineering Experts to contribute their technical expertise to a dynamic customer project focused on leveraging advanced AI agents in real-world scenarios. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for STEM professionals with deep experience in simulation and CAE, especially those who have adopted AI coding agents as integral tools in their workflows.
Scope of Work
- Provide detailed walkthroughs of how you employ AI coding agents such as Codex, Claude Science, Claude Code, and Claude Cowork in complex mechanical engineering simulation and CAE tasks.
- Demonstrate and document real-world applications where AI agents are used for navigating large codebases, debugging challenging issues, or developing end-to-end solutions—not just basic coding assistance.
- Describe and analyze the types of engineering problems, design challenges, or architectural changes addressed using AI-generated code sequences.
- Contribute written and verbal feedback about the performance and limitations of AI tools within the CAE and mechanical simulation domain.
- Curate representative examples and scenarios that illustrate advanced technical workflows involving AI agents, focusing on sequence generation rather than chatbot-style interactions.
- Articulate the approach, rationale, and complexity behind selected examples to provide actionable insights for the AI training process.
- Collaborate asynchronously with project leads and share input through clear and effective communication channels.
Preferred Qualifications
- Extensive hands-on experience in simulation and CAE-heavy mechanical engineering assignments.
- Proven proficiency with Codex, Claude Science, Claude Code, and Claude Cowork as coding sequence generators in technical scenarios.
- Demonstrated ability to apply AI agents to sophisticated engineering challenges—including navigating ambiguous requirements, large-scale debugging, or architectural overhauls.
- Exceptional written and verbal communication skills, with the ability to translate complex technical workflows into concise documentation and feedback.
- Active involvement in current STEM fields, using AI agentics as a practical extension of real-world engineering problem-solving.
- Experience documenting technical workflows and providing actionable insights for technology improvement or training purposes.
- Familiarity with the broader landscape of AI-driven engineering tools and a track record of experimentation and adaptation to new technologies.
Originally posted on Himalayas
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Where this listing came from
- 20 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.