Computer Engineering

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 such as computer architecture, embedded systems, networking, hardware security, and operating systems—documenting every failure so we can harden model reasoning.

Position Details

Title : Computer Engineering - AI Data Trainer

Type : Hourly Contract

Compensation : $35–$60 per hour

Location : Remote

Commitment : 10–40 hours per 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, 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 OS 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.

Application Process (Takes 15‑20 min)

Submit your resume.

Complete a short screening.

Project matching and onboarding.

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

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