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Electrical Engineering

Offre en anglaisExpiré

Design advanced electrical engineering problems and author rigorous ground-truth solutions to train AI models. Audit AI-generated technical content for accuracy and document failure modes to improve AI reasoning.

  • Télétravail
  • Canada
  • Publié 14 août 2026
  • 1 poste

Ce poste est expiré

Ce poste chez Alignerr n’accepte plus de candidatures. L’offre originale reste disponible ci-dessous à titre de référence.

Expiré le 24 août 2026

Postes actuels chez Alignerr

Ces possibilités vérifiées acceptent toujours des candidatures.

Offre d’emploi originale

Electrical Engineering — AI Data Trainer About The Role We partner with the world's leading AI research labs to build smarter, more capable AI systems — and we need electrical engineers to help get there. As an AI Data Trainer, you'll stress-test advanced language models on real engineering problems, expose their blind spots, and help shape how AI reasons through complex technical challenges. This is a fully remote, flexible contract role designed for engineers who want to do meaningful work on their own schedule. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design Challenging Problems — Craft advanced electrical engineering problems across circuit analysis, power systems, signal processing, electromagnetics, and more to push AI to its limits Author Ground-Truth Solutions — Develop rigorous, step-by-step solutions and benchmark responses that AI models use to learn correct engineering reasoning Audit Technical Accuracy — Evaluate AI-generated code, circuit diagrams, and mathematical proofs for correctness, safety, and compliance with engineering standards (IEEE, NEC, etc.) Improve AI Reasoning — Identify flawed logic in AI outputs and provide structured, expert feedback that directly improves how models think through engineering problems Document Failure Modes — Systematically record where and how AI reasoning breaks down so research teams can address gaps Who You Are Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field Strong domain knowledge in one or more of: VLSI, control systems, telecommunications, power electronics, embedded systems, or signal processing Able to communicate complex technical concepts clearly and precisely in writing Highly detail-oriented when reviewing equations, circuit logic, and technical documentation Self-directed and comfortable working asynchronously No prior AI experience required Nice to Have Experience with data annotation, technical evaluation, or quality assurance workflows Familiarity with simulation tools (MATLAB, SPICE, etc.) Background in standards compliance or engineering documentation Why Join Us Work on cutting-edge AI projects with top-tier research labs Fully remote and flexible — work when and how much you want Contribute directly to how AI understands and applies electrical engineering Freelance perks: autonomy, variety, and global collaboration Potential for ongoing work and contract extension

Ce que vous ferez

Design advanced electrical engineering problems and author rigorous ground-truth solutions to train AI models. Audit AI-generated technical content for accuracy and document failure modes to improve AI reasoning.

Exigences

Requires a Master's or PhD in Electrical Engineering or a related field with strong domain expertise in areas like VLSI or power electronics. Candidates must be detail-oriented and able to communicate complex technical concepts clearly in writing.

Avantages

• Autonomy • Variety • Global Collaboration • Flexible Schedule

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

  • Circuit Analysis
  • Power Systems
  • Signal Processing
  • Electromagnetics
  • VLSI
  • Control Systems
  • Telecommunications
  • Power Electronics
  • Embedded Systems
  • Technical Writing
  • Data Annotation
  • MATLAB
  • SPICE
  • IEEE Standards
  • NEC Standards
  • Technical Evaluation

Domaines d’emploi

  • Engineering
  • Technology
  • Software
  • Data & Analytics
  • Science & Research

Renseignements supplémentaires

Formation minimale
Maîtrise
Expérience minimale
0+ ans
Langue de l’offre
anglais
Heures de travail
40 heures par semaine
Niveau d’expérience
Entry level