AI Summary
Submit real engineering project documents to train AI models. This flexible contract role allows you to share existing artifacts from your hardware or systems engineering projects. Work remotely at your own pace while contributing to the development of frontier AI evaluation systems.
Key Highlights
Submit real engineering project artifacts for AI training
Flexible, per-submission contract with no cap on projects
Fully remote work opportunity with potential for ongoing engagement
Key Responsibilities
Submit two real artifacts from the same project: one requirements document and one final design document
Ensure both artifacts are genuine deliverables from actual engineering work
Redact identifying information if needed
Package both artifacts into a single .zip file with required folder structure
Populate all required metadata fields accurately
Confirm you have the legal right to share the material
Technical Skills Required
Benefits & Perks
No cap on number of projects
Fully remote and flexible schedule
Contribution to shaping AI models
Job Description
Hardware & Systems Engineering Work Products Contributor - AI Training Data
About The Role
Melbourne is one of Australia's largest engineering hubs, with deep expertise across civil, mechanical, manufacturing, aerospace, and systems engineering. If you have real engineering project documents from your career, you can turn them into income with very little extra work.
We're looking for hardware and systems engineers to submit real project artifacts that will be used to evaluate and train frontier AI models. No new documents to write, no long commitments. If the artifacts already exist and you have the legal right to share them, you're ready to submit.
- Organization: Alignerr
- Type: Per-Submission Contract
- Location: Remote
- Commitment: Flexible, submit at your own pace
- Submit two real artifacts from the same project: one requirements document and one final design document
- Ensure both artifacts are genuine deliverables from actual engineering work, not written or recreated for this submission
- Redact identifying information (company names, customer names, personnel, proprietary part numbers) if needed, and note any redactions in the metadata
- Package both artifacts into a single .zip file with the required folder structure
- Populate all required metadata fields accurately
- Confirm you have the legal right to share the material
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- Practicing or former hardware or systems engineer with real project experience
- Your discipline is one of the following: mechanical, aerospace, electrical, materials, chemical, civil, controls, manufacturing, or systems engineering — software-only engineering does not qualify
- You have existing project artifacts you are legally allowed to share — no active NDA blocking, no ITAR or EAR controlled content
- Strong written English skills for metadata and submission accuracy
- A requirements document that was actually used to drive the design, including functional requirements, performance thresholds, interface requirements, constraints, and assumptions
- A final design document that represents the real deliverable: CAD files, schematics, stress analyses, drawing packages, simulation outputs, or equivalent
- Both artifacts are from the same project and clearly traceable to each other
- Tradeoffs, waived requirements, or scope changes are included if they exist in the original documentation
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- Documents created or rewritten specifically for this submission
- Coursework, textbook examples, or fabricated case studies
- Software-only projects
- Marketing materials, sales decks, or executive summaries presented as design documents
- Submissions where you do not have the legal right to share the artifacts
- ITAR or EAR export-controlled documents
- No cap on the number of projects you can submit
- Fully remote and flexible — submit on your own schedule
- Your real engineering work directly contributes to shaping how frontier AI models are evaluated
- Potential for ongoing engagement as new evaluation challenges emerge
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