Computer Engineering

Computer Engineering – AI Data Trainer

Location: Remote

Overview

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

What You’ll Do

• 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, 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: Master’s (pursuing or completed) or Ph.D. in Computer Engineering, Computer Science with a hardware focus, or a closely related field.
• Domain Expertise: Strong foundational knowledge in Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Analytical Writing: Ability to communicate highly technical hardware concepts and low‑level software logic clearly and concisely in written form.
• Attention to Detail: High 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.

Benefits

• Competitive pay and flexible remote work.
• Collaborate with a team working on cutting‑edge AI projects.
• Exposure to advanced LLMs and their training processes.
• Freelance perks: autonomy, flexibility, and global collaboration.
• Potential for contract extension.

Application Process

• Submit your résumé.
• 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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