Computer Engineering Expert - AI Content Specialist
Top Benefits
About the role
Computer Engineering Expert — AI Content Specialist
About The Role
We're looking for computer engineering experts to help train and improve advanced AI models. Your deep technical knowledge will directly shape how AI understands and reasons about hardware design, computer architecture, embedded systems, and low-level software — making a real impact on the next generation of intelligent systems.
This is a fully remote, flexible contract role that fits around your schedule. No prior AI experience is needed — just strong domain expertise and a passion for technical precision.
Organization: Alignerr
Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
What You'll Do
Design Complex Engineering Challenges — Create advanced, domain-specific problems spanning RISC-V/ARM architecture, FPGA development, memory management, hardware-software co-design, and more Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions including assembly code, HDL snippets, and architectural diagrams that serve as reference-quality training data Audit AI-Generated Code — Evaluate AI outputs in C/C++, Verilog, and VHDL for technical accuracy, efficiency, and adherence to industry standards Refine AI Reasoning — Identify flaws in AI logic — such as race conditions, memory leaks, or improper timing constraints — and provide structured feedback to improve model performance Challenge Model Limits — Stress-test AI reasoning across computer architecture, embedded systems, networking, distributed systems, hardware security, and operating systems
Who You Are
Holds or is pursuing a Master's or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field Strong foundational knowledge in one or more of: Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems Able to communicate complex hardware concepts and low-level software logic clearly in writing High attention to detail — comfortable working at the level of bit operations, clock-cycle timing, and technical specifications No prior AI or data annotation experience required
Nice to Have
Experience with data annotation, data quality assurance, or evaluation systems
Proficiency with engineering tools such as MATLAB, SolidWorks, or ANSYS Familiarity with hardware description languages (Verilog, VHDL) or embedded development environments
Why Join Us
Work on cutting-edge AI projects alongside top research labs and AI teams
Fully remote and async — work on your own schedule, from anywhere Freelance perks: autonomy, variety, and global collaboration Gain rare, hands-on exposure to how frontier AI models are trained and evaluated Potential for ongoing work and contract extension
Similar Jobs
Computer Engineering Expert - AI Content Specialist
Top Benefits
About the role
Computer Engineering Expert — AI Content Specialist
About The Role
We're looking for computer engineering experts to help train and improve advanced AI models. Your deep technical knowledge will directly shape how AI understands and reasons about hardware design, computer architecture, embedded systems, and low-level software — making a real impact on the next generation of intelligent systems.
This is a fully remote, flexible contract role that fits around your schedule. No prior AI experience is needed — just strong domain expertise and a passion for technical precision.
Organization: Alignerr
Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
What You'll Do
Design Complex Engineering Challenges — Create advanced, domain-specific problems spanning RISC-V/ARM architecture, FPGA development, memory management, hardware-software co-design, and more Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions including assembly code, HDL snippets, and architectural diagrams that serve as reference-quality training data Audit AI-Generated Code — Evaluate AI outputs in C/C++, Verilog, and VHDL for technical accuracy, efficiency, and adherence to industry standards Refine AI Reasoning — Identify flaws in AI logic — such as race conditions, memory leaks, or improper timing constraints — and provide structured feedback to improve model performance Challenge Model Limits — Stress-test AI reasoning across computer architecture, embedded systems, networking, distributed systems, hardware security, and operating systems
Who You Are
Holds or is pursuing a Master's or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field Strong foundational knowledge in one or more of: Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems Able to communicate complex hardware concepts and low-level software logic clearly in writing High attention to detail — comfortable working at the level of bit operations, clock-cycle timing, and technical specifications No prior AI or data annotation experience required
Nice to Have
Experience with data annotation, data quality assurance, or evaluation systems
Proficiency with engineering tools such as MATLAB, SolidWorks, or ANSYS Familiarity with hardware description languages (Verilog, VHDL) or embedded development environments
Why Join Us
Work on cutting-edge AI projects alongside top research labs and AI teams
Fully remote and async — work on your own schedule, from anywhere Freelance perks: autonomy, variety, and global collaboration Gain rare, hands-on exposure to how frontier AI models are trained and evaluated Potential for ongoing work and contract extension