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Remote | Electrical & Circuit Design Expert — $60–$130/hour

Role overview

Qualifications

  • MS or PhD in Electrical Engineering, or BS in Electrical Engineering with 8+ years of relevant industry experience
  • At least 5 years of hands-on experience in analog, digital, mixed-signal, power, or RF circuit design
  • Strong knowledge of analog and mixed-signal design
  • Professional English proficiency

Responsibilities

  • Solve advanced electrical-engineering and circuit-design problems
  • Analyse circuit behaviour across DC, AC, transient, and frequency-domain scenarios
  • Review AI-generated electrical-engineering responses
  • Collaborate remotely with other subject-matter experts and project participants

Key facts

Hard skills

Other skills

  • Problem Solving
  • Collaboration
  • Communication
  • Teamwork

About the company

24-MAG logo

24-MAG

Business Consulting & Services

Company details

IndustryBusiness Consulting & Services
Company size2 - 10

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Job description

We are sharing a specialised consulting opportunity for experienced Electrical and Circuit Design professionals with strong expertise in analog, digital, mixed-signal, power electronics, RF and microwave systems, semiconductor devices, computer architecture, and advanced circuit analysis to contribute to an AI training and electrical-engineering evaluation project.

Selected professionals will solve and review complex circuit-design problems, assess AI-generated technical responses, analyse real-world electrical-engineering scenarios, and provide rigorous feedback across analog, digital, mixed-signal, power, and RF domains. The work requires strong hands-on design experience, precise engineering judgement, and the ability to explain sophisticated circuit concepts clearly. No prior experience in AI is required.

Key Responsibilities

Circuit Analysis & Problem Solving

  • Solve advanced electrical-engineering and circuit-design problems
  • Apply Kirchhoff's laws, node-voltage analysis, phasor methods, and other standard techniques
  • Analyse circuit behaviour across DC, AC, transient, and frequency-domain scenarios
  • Evaluate assumptions, boundary conditions, and component interactions
  • Develop technically sound and defensible engineering solutions

Analog & Mixed-Signal Design

  • Analyse analog and mixed-signal circuits
  • Evaluate biasing, gain, bandwidth, stability, and noise considerations
  • Apply small-signal analysis and Hybrid-π models where appropriate
  • Assess interface behaviour between analog and digital subsystems
  • Identify design weaknesses affecting signal integrity or performance

Digital Electronics & Computer Architecture

  • Review digital-logic and computer-engineering problems
  • Analyse finite-state machines and timing behaviour
  • Evaluate architecture-level trade-offs where relevant
  • Assess digital-interface and control-logic design
  • Identify issues involving timing, sequencing, or logical correctness

Power Electronics

  • Analyse power-electronic circuits and conversion systems
  • Evaluate switching behaviour, efficiency, losses, and thermal implications
  • Review power-stage architecture and component selection
  • Assess control and stability considerations
  • Identify practical reliability or implementation concerns

RF & Microwave Systems

  • Analyse RF and microwave circuit behaviour
  • Evaluate impedance, frequency response, matching, and signal propagation
  • Review high-frequency design assumptions
  • Assess practical implementation and validation considerations
  • Identify issues affecting performance at RF and microwave frequencies

Semiconductor Device Analysis

  • Apply semiconductor-device principles to circuit problems
  • Evaluate transistor behaviour and device-level constraints
  • Review CMOS-related design considerations
  • Assess semiconductor reliability and scaling effects
  • Connect device characteristics with circuit-level performance

Circuit Troubleshooting & Validation

  • Diagnose complex circuit failures or unexpected behaviour
  • Use analytical methods to identify likely root causes
  • Compare theoretical predictions against practical design behaviour
  • Review validation strategies for hardware systems
  • Recommend technically appropriate corrective actions

AI Engineering Evaluation

  • Review AI-generated electrical-engineering responses
  • Assess technical correctness, completeness, and engineering quality
  • Identify calculation errors, weak assumptions, or unrealistic recommendations
  • Provide structured feedback to improve model performance
  • Distinguish substantive engineering problems from acceptable alternative approaches

Technical Communication & Collaboration

  • Document engineering reasoning clearly and precisely
  • Provide detailed written and verbal technical explanations
  • Collaborate remotely with other subject-matter experts and project participants
  • Support consistency across evaluation tasks and review criteria
  • Contribute practical engineering context to AI-training workflows

Ideal Profile

  • MS or PhD in Electrical Engineering, or BS in Electrical Engineering with 8+ years of relevant industry experience
  • At least 5 years of hands-on experience in analog, digital, mixed-signal, power, or RF circuit design
  • Experience contributing to hardware that has reached production or tape-out
  • Strong knowledge of analog and mixed-signal design
  • Strong understanding of digital logic
  • Expertise in semiconductor devices
  • Experience with power electronics
  • Strong RF and microwave knowledge
  • Familiarity with control systems
  • Proven ability to analyse circuits using Thevenin equivalents, Hybrid-π models, FSMs, and timing analysis
  • Familiarity with semiconductor reliability concerns
  • Knowledge of EMC and modern CMOS scaling
  • Experience with IC or ASIC design is advantageous
  • Familiarity with EDA tools such as Cadence, Synopsys, or Mentor Graphics is valuable
  • PCB design experience is beneficial
  • Experience with high-speed digital or RF validation is a plus
  • Professional English proficiency
  • Exceptional written and verbal technical communication skills
  • Evidence of rigorous problem-authoring or technical-review experience is highly valued, including standards-committee work, examination item writing, verified tape-outs, engineering competition leadership, technical awards, patents, research recognition, or comparable achievements
  • No prior AI-training or model-evaluation experience is required

Engagement Details

  • Independent contractor engagement
  • Fully remote
  • Displayed compensation range: $60–$130/hour
  • Actual compensation structure is output-based, with payment made per task that meets project specifications
  • Task completion time may vary depending on individual experience and workflow
  • Minimum weekly submission requirements apply; the source does not specify the exact number of required tasks
  • Work will involve circuit analysis, analog and digital electronics, mixed-signal design, power electronics, RF/microwave systems, semiconductor devices, and AI-generated engineering-content evaluation
  • Strong hands-on electrical and circuit-design judgement is central to this engagement
  • Roles are typically filled within approximately 48 hours
  • Selected experts are expected to begin initial tasks within approximately 24–48 hours after onboarding
  • Project scope, workload, engineering topics, and evaluation standards may evolve depending on project requirements
  • Work must be completed without using confidential or proprietary information belonging to any employer, client, manufacturer, research institution, engineering organisation, or other third party

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

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Marcus Rivera

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