Electrical Engineering

Alignerr; United States; Remote; GBP 83,000 - 165,000; Full time

Job summary

Alignerr is seeking an Electrical Engineering Expert to train and improve cutting-edge AI models. You will craft advanced electrical engineering problems, write precise solution benchmarks, and rigorously audit AI outputs to ensure accuracy and safety.

The role is a fully remote, hourly contract requiring 10–40 hours per week, with flexible scheduling and independent work. A deep EE background and strong communication skills are essential.

Qualifications

• Pursuing or holding a Master’s or PhD in Electrical Engineering or closely related field.
• Strong foundational knowledge in EE domains: VLSI, control systems, telecommunications, power electronics, or signal processing.
• Excellent written communication of complex technical concepts.

Responsibilities

• Design challenging problems across domains like circuit analysis, power systems, signal processing, electromagnetics, and embedded systems to test AI performance.
• Author gold-standard step-by-step solutions that serve as benchmarks for AI learning and evaluation.
• Audit AI outputs: review AI-generated code, circuit diagrams, and proofs for technical accuracy and safety.
• Identify logical flaws in AI-generated engineering reasoning and provide structured feedback to improve model performance.
• Work independently and manage your own schedule in a remote, flexible setup.

Skills

VLSI

Control systems

Telecommunications

Power electronics

Signal processing

Education

Master's/PhD in Electrical Engineering

Tools

MATLAB

SPICE

Job description

Electrical Engineering Expert — AI Training

About The Role

We're looking for experienced Electrical Engineers to help train and improve cutting-edge AI models. Your deep domain knowledge will directly shape how AI understands and reasons through complex engineering problems — from circuit analysis to signal processing to power systems.

This is a fully remote, flexible contract role where your expertise has real impact on the next generation of AI technology.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You’ll Do

• Design Challenging Problems — Create advanced electrical engineering problems across domains like circuit analysis, power systems, signal processing, electromagnetics, and embedded systems to rigorously test AI performance
• Author Gold-Standard Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
• Audit AI Outputs — Review and evaluate AI-generated code, circuit diagrams, and mathematical proofs for technical accuracy, safety, and adherence to engineering standards (IEEE, NEC, etc.)
• Sharpen AI Reasoning — Identify logical flaws in AI-generated engineering reasoning and provide structured feedback to improve model performance
• Work Independently — Manage your own schedule and contribute asynchronously on your own terms

Who You Are

• Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field
• Strong foundational knowledge in one or more core EE domains: VLSI, control systems, telecommunications, power electronics, or signal processing
• Able to communicate complex technical concepts clearly and concisely in writing
• High attention to detail when working with mathematical equations, circuit logic, and technical documentation
• Self-motivated and comfortable working independently in a remote environment
• No prior AI experience required

Nice to Have

• Experience with data annotation, data quality evaluation, or AI evaluation workflows
• Familiarity with simulation tools (MATLAB, SPICE, etc.)
• Background in embedded systems, robotics, or engineering simulations

Why Join Us

• Work on genuinely cutting-edge AI projects alongside top research labs
• Fully remote and flexible — set your own hours and workload
• Freelance autonomy with meaningful, intellectually stimulating work
• Gain firsthand exposure to how advanced large language models are built and trained
• Potential for ongoing work and contract extension