Computer Engineering

Alignerr Corp.; Ireland; Remote; EUR 43,000 - 74,000; Part time

Benefits offered by this job

Autonomy

Flexible remote work

Global collaboration

Job summary

Alignerr is seeking a highly skilled Computer Engineering - AI Data Trainer to work remotely on developing advanced engineering challenges and gold-standard solutions for AI training. You will document and verify complex hardware-software interactions, including HDL snippets and assembly code, to improve model accuracy.

You will audit AI-generated code and OS-level concepts, identify timing and concurrency issues, and provide structured feedback to enhance model reasoning and reliability.

Qualifications

• Advanced degree in Computer Engineering, Computer Science with hardware focus, or closely related field.
• Strong knowledge in core areas like Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Ability to communicate highly technical hardware concepts clearly in written form.
• High precision in checking bit-level operations, clock-cycle timing, and technical docs.

Responsibilities

• Develop complex problems across domains like RISC-V/ARM, FPGA, memory management, and HW-SW co-design.
• Author rigorous gold-standard solutions with assembly, HDL snippets, and architectural diagrams for AI training.
• Perform technical auditing of AI-generated code (C/C++, Verilog, VHDL), logic designs, and OS kernels for accuracy and standards.
• Refine AI reasoning by identifying race conditions, memory leaks, and timing issues, providing structured feedback.

Skills

Domain Expertise

Analytical Writing

Attention to Detail

No AI Experience Required

Education

Master’s or PhD in Computer Engineering/CS (hardware focus)

Job description

Computer Engineering - AI Data Trainer

• Location: Remote

About The Job

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.

You’ll challenge advanced language models on topics like computer architecture and hardware design, embedded systems and IoT, networking and distributed systems, hardware security, and systems software and operating systems—documenting every failure mode so we can harden model reasoning.

Organization: Alignerr Position: Computer Engineering - AI Data Trainer Type: Hourly Contract Compensation: $35–$60 /hour Location: Remote Commitment: 10–40 hours/week

What You’ll Do

• Develop Complex Problems: Design advanced computer engineering challenges across domains like 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 that 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.

Requirements

• 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 Us

• 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.