Semiconductor and Chip Design Engineer

The work

You will create realistic semiconductor engineering scenarios and review AI-generated technical work. Your feedback will help assess whether designs, methods, assumptions, and recommendations are accurate and practical.

The work focuses on chip design and related engineering workflows, including digital and analog IC design, RTL, verification, physical implementation, fabrication, and tape-out.

• Create expert-level problems and scenarios covering IC design, RTL, verification, physical design, fabrication, and tape-out.
• Review AI-generated designs, responses, methodologies, assumptions, and recommendations for technical accuracy and practical feasibility.
• Assess synthesis, simulation, timing analysis, place and route, layout, design-rule checking, physical verification, and related workflows.
• Evaluate reasoning across ASIC, SoC, FPGA, VLSI, EDA, and semiconductor process topics.
• Write clear feedback explaining errors, risks, assumptions, and ways to improve the work.

What it pays and takes

This is an ongoing, project-based contractor opportunity that can fit alongside your current role. Work is remote and asynchronous, and project availability may vary.

• Pay: Up to $96 per hour.
• Location: Open to candidates based in Canada.
• Schedule: No set schedule or minimum hour requirement.
• Experience: At least two years of hands-on industry experience in chip design, semiconductor engineering, or a related engineering field.
• Education: A graduate degree in electrical, electronics, computer engineering, or a related field, or a bachelor’s degree in electrical or computer engineering with strong industry experience.
• Expertise: At least one area such as IC design, RTL and VLSI, functional or formal verification, physical design, timing closure, EDA flows, fabrication, DFT, synthesis, layout, DRC, or tape-out.
• Communication: Strong written communication, careful attention to detail, and the ability to explain complex chip-design concepts clearly.
• Work style: Ability to work independently in a remote, asynchronous setting.
• Helpful tools and knowledge: Cadence Virtuoso, Innovus, Synopsys Design Compiler, PrimeTime, VCS, Calibre, ModelSim, Questa, Vivado, Quartus, Verilog, SystemVerilog, VHDL, SPICE, UVM, static timing analysis, place and route, DRC/LVS, parasitic extraction, PDKs, yield analysis, or process integration.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that generate and evaluate text, designs, code, images, and other outputs. Experienced engineers are paid to create useful examples and judge whether AI work is accurate, safe, and practical in specialized fields.