AI Data Trainer, 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. As an AI Data Trainer, Computer Engineering, you will challenge advanced language models on topics like computer architecture, hardware design, embedded systems, IoT, networking, distributed systems, hardware security, and systems software and operating systems. Your work will involve documenting every failure mode to harden model reasoning.

This is an hourly contract position with Alignerr, offering competitive compensation between $35–$60 per hour, requiring a commitment of 10–40 hours per week, and is fully remote.

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, hardware description language (HDL) snippets, and architectural diagrams, serving 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 Qualifications

• 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 Alignerr?

You’ll receive competitive pay and enjoy flexible remote work. This role offers the opportunity to collaborate with a team working on cutting-edge AI projects and gain exposure to advanced Large Language Models (LLMs) and their training methodologies. As a freelancer, you'll benefit from autonomy, flexibility, and global collaboration, with potential for contract extension.

Key skills/competency

• Computer Architecture
• Embedded Systems
• Digital Logic Design
• Operating Systems
• Hardware Design
• AI Model Training
• Technical Writing
• Verilog/VHDL
• C/C++ Programming
• Data Annotation