Full-time
Posted 21 days ago
Job description
Electrical Engineering — AI Data Trainer 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.
About This Role 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 #J-18808-Ljbffr
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Electrical Engineer?
A: To succeed as an Electrical Engineer, key technical skills include proficiency in circuit analysis, electronics design, and programming languages such as C++, Python, or MATLAB, as well as knowledge of electrical systems, control systems, and electromagnetism. Soft skills like effective communication, problem-solving, and teamwork are also crucial, as Electrical Engineers often collaborate with cross-functional teams and must clearly convey complex technical information to stakeholders. By combining these technical and soft skills, Electrical Engineers can design, develop, and implement innovative electrical systems, drive project success, and advance in their careers through leadership and technical expertise.
Q: What is the career path for a Electrical Engineer?
A: A typical career path for an Electrical Engineer involves progression from entry-level roles such as Design Engineer or Junior Electrical Engineer, to mid-level positions like Senior Electrical Engineer or Project Engineer, and eventually to senior roles like Electrical Engineering Manager or Technical Lead. Throughout their career, Electrical Engineers can develop skills in areas like circuit design, power systems, and control systems, as well as soft skills like project management and team leadership, through continuous learning and professional development opportunities. Long-term, Electrical Engineers may pursue leadership roles, start their own consulting firms, or transition into related fields like software engineering or research and development, offering a wide range of career directions and opportunities for growth.
