Electrical Engineer for AI Model Training

Apply deep electrical engineering and circuit design expertise to evaluate and solve advanced design problems and to train next-generation AI systems. Your work will improve how models interpret, reason about, and explain complex circuits across analog, digital, mixed-signal, power, and RF domains. This is a remote contractor opportunity focused on high-precision technical review, problem solving, and clear technical communication.

• Evaluate and solve advanced circuit design and electrical engineering problems across analog, digital, mixed-signal, power, and RF domains.
• Review and assess AI-generated technical responses for correctness, engineering quality, and accuracy.
• Apply practical engineering judgment to real-world design scenarios and theoretical questions.
• Analyze and troubleshoot circuits using techniques such as Kirchhoff''s laws, node-voltage analysis, small-signal analysis, and phasor analysis.
• Use Thevenin equivalents, Hybrid-pi models, finite state machines, and timing analysis where appropriate to validate designs.
• Document feedback and provide clear written and verbal explanations to improve AI learning and model performance.
• Collaborate remotely with a distributed team of experts and project participants.

• MS or PhD in Electrical Engineering, or BS in Electrical Engineering with 8 or more years of relevant industry experience.
• At least 5 years of hands-on experience in analog, digital, mixed-signal, power, or RF circuit design, including work on hardware that reached production or tape-out.
• Expert knowledge in analog and mixed-signal design, digital logic, semiconductor devices, power electronics, RF and microwave systems, and control systems.
• Proven ability to analyze complex circuits using Thevenin equivalents, Hybrid-pi models, finite state machines, and timing analysis.
• Familiarity with semiconductor reliability issues, electromagnetic compatibility, and modern CMOS scaling.
• Required technical skills: circuit analysis, computer engineering, computer architecture, RF and microwave, power electronics, analog and digital electronics.
• Strong attention to detail and demonstrated ability to collaborate remotely.
• Professional English proficiency with exceptional written and verbal communication skills.
• Preferred but not required: experience with IC/ASIC design, EDA tools such as Cadence, Synopsys, or Mentor Graphics, PCB design, or high-speed digital and RF system validation.

• Engagement type: Contractor, remote position.
• Contribution focus: subject-matter expertise to train and evaluate AI systems using real-world engineering input.
• Compensation structure is output-based, paid per task that meets project specifications. Time to complete each task may vary by expert and workflow.
• Minimum submission requirements apply. Experts must submit a minimum number of tasks per week.
• Start timeline and placement depend on project availability and needs; roles are filled as projects open.

Pay range equivalent to $80 to $130 per hour. Actual payments are task-based and awarded for completed tasks that meet project specifications.

• Remote collaboration capability is required, including reliable internet and ability to communicate clearly in English.
• No prior AI experience is required; domain knowledge in electrical and circuit design is the primary qualification.
• Participation and placement depend on project openings and meeting vetting or qualification checks required by the project.