Computer Engineering

Alignerr; United States; Remote; MXN 907,000 - 1,555,000; Part time

Benefits offered by this job

Competitive pay

Flexible remote work

Cutting-edge AI projects

Exposure to LLMs

Freelance autonomy

Job summary

Alignerr is seeking a Computer Engineering - AI Data Trainer to design advanced hardware problems and author rigorous ground-truth solutions for AI training. The role involves auditing AI-generated code and OS kernels for accuracy and efficiency, and providing structured feedback to improve model reasoning.

The ideal candidate holds an advanced degree in computer engineering or related hardware-focused CS field and can clearly communicate complex hardware concepts in writing.

Qualifications

• Masters or PhD in Computer Engineering, CS with hardware focus, or related field.
• Deep knowledge in Computer Architecture, Embedded Systems, Digital Logic, or OS.
• Ability to clearly document highly technical hardware concepts and low-level software logic.
• High precision in bit-level operations, clock-cycle timing, and documentation.
• No AI experience required.

Responsibilities

• Develop complex problems across RISC‑V / ARM, FPGA, memory management, and HW-SW co-design.
• Author ground-truth solutions with assembly, HDL snippets, and diagrams as golden responses.
• Auditing AI-generated code (C/C++, Verilog, VHDL) and OS kernels for accuracy.
• Refine reasoning by identifying race conditions, memory leaks, timing issues and provide feedback.

Skills

Computer Architecture

Embedded Systems

Digital Logic Design

Operating Systems

Analytical Writing

Attention to Detail

Education

Master's or PhD in Computer Engineering / Computer Science with hardware focus

Tools

Verilog

VHDL

Job description

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.

Computer Engineering - AI Data Trainer

• Location: Remote


• Organization: Alignerr


• Position: Computer Engineering - AI Data Trainer


• Type: Hourly Contract


• Compensation: $35–$60 /hour


• 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.