Electrical Engineering

Alignerr partners with leading AI research teams to build and train cutting-edge AI models. The role involves designing complex electrical engineering problems and creating benchmark solutions for AI learning.

Responsibilities:

• Develop Complex Problems: Design advanced electrical engineering problems across domains like circuit analysis, power systems, signal processing, and electromagnetics to test AI performance
• Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions and 'golden responses' that the AI will use as a benchmark for learning
• Technical Auditing: Evaluate AI-generated code, circuit diagrams, and mathematical proofs for technical accuracy, safety, and adherence to engineering standards (e.g., IEEE, NEC)
• Refine Reasoning: Identify logical fallacies in AI reasoning and provide structured feedback to help the model improve its 'thinking' process for engineering tasks

Requirements:

• Advanced Degree: Masters (pursuing or completed) or PhD in Electrical Engineering, Electronic Engineering, or a closely related field
• Domain Expertise: Strong foundational knowledge in core areas such as VLSI, control systems, telecommunications, or power electronics
• Analytical Writing: The ability to communicate highly technical concepts clearly and concisely in written form
• Attention to Detail: High level of precision when checking mathematical equations, circuit logic, and technical documentation
• No AI experience required
• Prior experience with data annotation, data quality, or evaluation systems