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Software Engineering alignerr

Hardware & Systems Engineering Contributor

Alignerr β€’ Remote β€’ Posted 21 days ago

Education

Any

Type

Pay Rate

$95/task

Posted

21d ago

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About this Role

What You'll Do

  • 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

About the Role

Munich is one of Europe's premier engineering hubs β€” home to world-class automotive, aerospace, semiconductor, and industrial engineering talent. 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

Who You Are

  • 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 β€” software-only engineering does not qualify
  • You have existing project artifacts you are legally allowed to share β€” no active NDA blocking, no ITAR or EAR controlled content
  • Strong written English skills for metadata and submission accuracy
  • Documents submitted must be in English or include English translations

What Makes a Perfect Submission

  • 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

What Does Not Qualify

  • 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

Why Join Us

  • No cap on the number of projects you can submit
  • Fully remote and flexible β€” 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

Requirements

  • Fluent proficiency in English (Written & Verbal)
  • Reliable high-speed internet connection
  • Bachelor's degree or equivalent professional experience
  • Demonstrated expertise in Software Engineering

Eligible Languages

Fluent proficiency in English

English

Compensation Analysis

Munich is one of Europe's premier engineering hubs β€” home to world-class automotive, aerospace, semiconductor, and industrial engineering talent. 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 artifact

Skills & Categories

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Frequently Asked Questions

What is the assessment actually like?

Notoriously strict. Alignerr uses TestGorilla for role-specific timed tests β€” a blank coding environment for engineers, rigorous grammar and fact-checking for writers. There is almost no hand-holding. The critical catch: this is essentially a one-shot process. Fail or abandon the assessment, and you are typically locked out of that role permanently with no option to retake.

How quickly can I start earning after I pass?

Not immediately. Even after passing the assessment and completing identity verification (via Persona) and billing setup (via Deel), you may sit in a waiting pool for weeks or months. You only start earning when a project matching your specific skills launches and you are officially assigned. Do not plan around Alignerr income until you are actively on a project.

Is there a community?

Yes β€” and it is one of Alignerr's genuine strengths. Once assigned to a project, you are added to Slack channels where you can ask questions, get rubric clarifications from admins, and talk to other AI trainers. This is rare in AI training and makes a real difference when guidelines are ambiguous or change mid-project.

Is this traditional consulting?

Not exactly. You act as a "Teacher" for advanced AI. Instead of client deliverables, you are given complex scenarios to evaluate. You grade the AI's logic, correct its hallucinations, and provide expert-level reasoning. Your job is to train the model to think like you do.

Why is the pay so high?

This role requires deep, verified expertise. General knowledge isn't enough; the model is specifically being trained on "edge cases"β€”the rare, difficult, or highly technical nuances that only a senior professional would know.

What is the workload like?

This is cognitive, deep work. Unlike simple data labeling, you might spend 45-60 minutes on a single task, researching citations or verifying complex calculations. Quality is prioritized over speed.

What is the barrier to entry?

Alignerr is known for difficult technical assessments. You must pass a timed test in your specific domain (e.g., Python, Physics, or Language) before you are eligible for any paid projects.