Electrical Engineering

Alignerr Corp.; Delhi; Remote; INR 14,000 - 55,000; Full time

Job summary

Alignerr is seeking an Electrical Engineering Expert (AI Training) for a remote hourly contract. You will craft challenging engineering problems and write gold-standard solutions to help train AI models.

The role suits candidates pursuing or holding a Master’s or PhD in EE and who can work asynchronously. You will evaluate AI outputs against standards (IEEE/NEC), highlight errors, and provide actionable feedback.

Qualifications

• Master's or PhD in EE or related field required.
• Strong knowledge in VLSI, control systems, telecommunications, power electronics, or signal processing.
• Excellent written communication and attention to detail.
• Able to work independently and asynchronously.

Responsibilities

• Design advanced electrical engineering problems to test AI performance across domains like circuit analysis, power systems, signal processing, electromagnetics, and control systems.
• Author detailed, step-by-step technical solutions that serve as benchmarks for AI learning.
• Evaluate AI outputs for technical accuracy, safety, and adherence to standards (IEEE, NEC).
• Identify logical errors and provide actionable feedback to improve model performance.
• Challenge AI models on embedded systems, VLSI, telecommunications, and engineering simulations.

Skills

Electrical Engineering

VLSI

Control Systems

Signal Processing

Power Electronics

Written Communication

Independent Work

Education

Master's or PhD in Electrical Engineering or related field

Job description

Electrical Engineering Expert (AI Training)

We're looking for experienced electrical engineers to help train and evaluate cutting-edge AI models. Your technical expertise 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 domain knowledge makes a real impact on the future of AI.

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

What You'll Do

• Design advanced electrical engineering problems across domains like circuit analysis, power systems, signal processing, electromagnetics, and control systems to rigorously test AI performance
• Author detailed, step-by-step technical solutions that serve as gold-standard benchmarks for AI learning
• Evaluate AI-generated outputs — including code, circuit diagrams, and mathematical proofs — for technical accuracy, safety, and adherence to engineering standards (e.g., IEEE, NEC)
• Identify logical errors and reasoning gaps in AI-generated solutions and provide structured, actionable feedback to improve model performance
• Challenge AI models on advanced topics such as embedded systems, VLSI, telecommunications, and engineering simulations

Who You Are

• Currently 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 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 reviewing mathematical equations, circuit logic, and technical documentation
• Self-motivated and comfortable working independently and asynchronously
• No prior AI experience required

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation workflows
• Familiarity with engineering simulation tools or formal verification methods
• Experience writing technical documentation or academic papers

Why Join Us

• Work on cutting-edge AI projects in collaboration with leading AI research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Gain hands-on exposure to advanced large language models and how they're trained
• Contribute to meaningful work that advances AI reasoning in engineering domains
• Potential for ongoing work and contract extension