Computer Engineering AI Data Trainer

About the Computer Engineering AI Data Trainer Role at Alignerr

At Alignerr, we collaborate with the world’s leading AI research teams and labs to develop and train cutting-edge AI models. As a Computer Engineering AI Data Trainer, you will engage with advanced language models, challenging them on intricate topics such as computer architecture, hardware design, embedded systems, IoT, networking, distributed systems, hardware security, and systems software and operating systems. A crucial part of your role will involve documenting every failure mode to enhance model reasoning.

This is an hourly contract position, offering flexibility with 10–40 hours per week and compensation ranging from $35–$60 per hour. This role is fully remote, providing the autonomy to collaborate globally.

What You’ll Do as a Computer Engineering AI Data Trainer

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

Requirements for a Computer Engineering AI Data Trainer

• Advanced Degree: Possess a Masters (pursuing or completed) or PhD in Computer Engineering, Computer Science with a hardware focus, or a closely related academic field.
• Domain Expertise: Demonstrate strong foundational knowledge in core areas, including Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Analytical Writing: Proven ability to clearly and concisely communicate highly technical hardware concepts and low-level software logic in written form.
• Attention to Detail: Exhibit a high level of precision when meticulously checking bit-level operations, clock-cycle timing, and comprehensive technical documentation.
• No AI experience is required for this role.

Preferred Qualifications

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

Why Join Alignerr?

• Enjoy competitive pay and the flexibility of a fully remote work environment.
• Collaborate with a forward-thinking team on cutting-edge AI projects.
• Gain valuable exposure to advanced Large Language Models (LLMs) and their intricate training methodologies.
• Benefit from freelance perks, including autonomy, flexible scheduling, and global collaboration opportunities.
• Potential for contract extension based on performance and project needs.

Key skills/competency

• Computer Architecture
• Embedded Systems
• Digital Logic Design
• Operating Systems
• RISC-V/ARM Architecture
• FPGA Development
• Memory Management
• Hardware-Software Co-design
• AI Model Training
• Technical Auditing