Computer Engineering AI Data Trainer

About the Computer Engineering AI Data Trainer Role at Alignerr

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. As a Computer Engineering AI Data Trainer, you will challenge advanced language models on topics like computer architecture, hardware design, embedded systems, IoT, networking, distributed systems, hardware security, systems software, and operating systems. Your role involves documenting every failure mode to harden model reasoning effectively.

This is an hourly contract position with a commitment of 10–40 hours per week, offering compensation between $35–$60 per hour, and is a fully remote opportunity.

Key Responsibilities

• Develop Complex Problems: Design advanced computer engineering challenges across domains such as RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design.
• Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions, including assembly code, hardware description language (HDL) snippets, and architectural diagrams. These will serve as "golden responses" for AI training.
• Technical Auditing: Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and operating system kernels for technical accuracy, efficiency, and adherence to industry standards.
• Refine Reasoning: Identify logical fallacies in AI reasoning—such as race conditions, memory leaks, or improper timing constraints—and provide structured feedback to improve the model's "thinking" process.

Qualifications and Requirements

Required:

• Advanced Degree: Masters (pursuing or completed) or PhD in Computer Engineering, Computer Science with a hardware focus, or a closely related field.
• Domain Expertise: Strong foundational knowledge in core areas such as Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Analytical Writing: The ability to communicate highly technical hardware concepts and low-level software logic clearly and concisely in written form.
• Attention to Detail: High level of precision when checking bit-level operations, clock-cycle timing, and technical documentation.
• No AI experience required.

Preferred:

• Prior experience with data annotation, data quality, or evaluation systems.
• Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI-generated code or workflows.

Why Join Alignerr?

• Competitive pay and flexible remote work.
• Collaborate with a team working on cutting-edge AI projects.
• Exposure to advanced LLMs and how they’re trained.
• Freelance perks: autonomy, flexibility, and global collaboration.
• Potential for contract extension.

Application Process

• Submit your resume.
• Complete a short screening.
• Project matching and onboarding.

Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Key skills/competency

• Computer Architecture
• Embedded Systems
• Digital Logic Design
• Operating Systems
• AI Model Training
• Hardware-Software Co-design
• Technical Auditing
• Problem Solving
• Analytical Writing
• Data Annotation