Computer Engineering

Job summary

Create advanced computer engineering problems and detailed reference solutions, including code and hardware design examples, for AI training. Evaluate AI-generated code and designs for accuracy and efficiency, identify reasoning errors, and provide feedback across computer architecture, embedded systems, operating systems, and related areas.

Job details

Computer Engineering — AI Data Trainer About The Role We're partnering with the world's leading AI research labs to build smarter, more reliable AI systems — and we need expert computer engineers to help get there. As a Computer Engineering AI Data Trainer, you'll put your deep technical knowledge to work challenging, auditing, and refining advanced language models on the topics you know best. This is a rare opportunity to work at the frontier of AI development, directly influencing how next-generation models reason about hardware, systems, and low-level software. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design Complex Technical Problems — Craft advanced computer engineering challenges spanning RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design Author Ground-Truth Solutions — Produce rigorous, step-by-step reference solutions including assembly code, HDL snippets (Verilog/VHDL), and architectural diagrams that serve as benchmarks for AI training Audit AI-Generated Outputs — Evaluate AI-produced code (C/C++, Verilog, VHDL), logic gate designs, and OS kernels for technical accuracy, efficiency, and adherence to industry standards Identify and Fix Reasoning Failures — Spot logical flaws like race conditions, memory leaks, and improper timing constraints, then provide structured feedback to improve model reasoning Stress-Test AI Knowledge — Challenge models on computer architecture, embedded systems and IoT, networking, distributed systems, hardware security, and systems software Who You Are Pursuing or holding a Master's or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field Strong foundational expertise 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 Highly precise — comfortable working with bit-level operations, clock-cycle timing, and technical documentation Self-motivated and able to work independently and asynchronously No prior AI experience required Nice to Have Experience with data annotation, data quality evaluation, or AI evaluation workflows Proficiency with engineering tools such as MATLAB, SolidWorks, or ANSYS Hands-on experience with FPGA toolchains, embedded platforms, or RTL design Why Join Us Work on cutting-edge AI projects with top research labs and AI teams Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Gain rare, insider exposure to how advanced LLMs are built and trained Potential for ongoing work and contract extension

What you’ll do

Create advanced computer engineering problems and detailed reference solutions, including code and hardware design examples, for AI training. Evaluate AI-generated code and designs for accuracy and efficiency, identify reasoning errors, and provide feedback across computer architecture, embedded systems, operating systems, and related areas.

Requirements

Candidates must be pursuing or hold a master's or PhD in Computer Engineering, hardware-focused Computer Science, or a related field, with strong expertise in at least one relevant area such as computer architecture, embedded systems, digital logic, or operating systems. They must communicate technical concepts clearly, work precisely and independently, and be comfortable with asynchronous work; prior AI experience is not required.

Benefits

• Flexible Schedule
• Remote Work
• Autonomy
• Varied Work
• Global Collaboration
• Potential for Ongoing Work and Contract Extension
• Exposure to AI Development

Listed skills

• Verilog · Preferred
• VHDL · Preferred
• Embedded Systems · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Computer Architecture
• Embedded Systems
• Digital Logic Design
• Operating Systems
• RISC-V
• ARM Architecture
• FPGA Development
• Memory Management
• Hardware-Software Co-Design
• C/C++
• Verilog
• VHDL
• Assembly Language
• Distributed Systems
• Hardware Security
• RTL Design

Job areas

• Engineering
• Technology
• Software
• Data & Analytics
• Science & Research

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