Computer Engineering Expert - AI Content Specialist
Alignerr
Job Overview
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Job Description
About The Job 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 Expert - AI Content Specialist, you will challenge advanced language models on intricate topics within computer engineering. This includes areas such as computer architecture, hardware design, embedded systems, IoT, networking, distributed systems, hardware security, and systems software and operating systems. A key part of your role will be documenting every failure mode to enhance the model's reasoning capabilities.
This is an hourly contract position with a commitment of 10–40 hours per week, offering competitive compensation between $35–$60 per hour. The role is entirely remote, providing flexibility and autonomy.
What You’ll Do
- Develop Complex Problems: Design advanced computer engineering challenges spanning 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, 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 for this role.
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
- Competitive pay and flexible remote work arrangements.
- Opportunity to collaborate with a team dedicated to cutting-edge AI projects.
- Exposure to advanced Large Language Models (LLMs) and insights into their training methodologies.
- Enjoy freelance perks including autonomy, flexibility, and global collaboration.
- Potential for contract extension based on performance and project needs.
Application Process
The application process is designed to be efficient, taking approximately 15-20 minutes:
- Submit your resume.
- Complete a short screening.
- Proceed with project matching and onboarding.
Our team reviews applications daily. Please ensure you complete your AI interview and all application steps to be considered for this exciting opportunity.
Key skills/competency
- Computer Architecture
- Embedded Systems
- Digital Logic Design
- Operating Systems
- Hardware Description Languages (HDL)
- C/C++ Programming
- Technical Writing
- Analytical Reasoning
- AI Model Evaluation
- Systems Software
How to Get Hired at Alignerr
- Research Alignerr's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their commitment to cutting-edge AI.
- Tailor your resume: Customize your application to highlight deep computer engineering expertise, particularly in architecture, embedded systems, and digital logic, while emphasizing strong analytical writing skills.
- Showcase domain expertise: Prepare to discuss specific projects or experiences demonstrating your foundational knowledge in Computer Architecture, Embedded Systems, Digital Logic Design, and Operating Systems.
- Prepare for technical challenges: Be ready to articulate your understanding of concepts like RISC-V/ARM architecture, FPGA development, memory management, and C/C++/HDL coding during technical assessments.
- Demonstrate analytical writing: Practice explaining complex hardware concepts and low-level software logic clearly and concisely, as this is crucial for authoring ground-truth solutions and providing feedback.
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