Computer Engineering AI Data Trainer
Alignerr
Job Overview
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Job Description
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 a Computer Engineering AI Data Trainer, you will challenge advanced language models on topics such as computer architecture, hardware design, embedded systems, IoT, networking, distributed systems, hardware security, and systems software. Your role involves documenting every failure mode to improve model reasoning.
What You’ll Do
- Design advanced computer engineering challenges in areas like RISC-V/ARM architecture and FPGA development.
- Create detailed technical solutions including assembly code, HDL snippets, and diagrams.
- Evaluate AI-generated code (C/C++, Verilog, VHDL) for accuracy and efficiency.
- Identify logical fallacies such as race conditions and memory leaks in model reasoning.
Requirements
Candidates must have an advanced degree (Masters or PhD) in Computer Engineering, Computer Science with a hardware focus, or a closely related field, along with strong foundational knowledge in computer architecture, embedded systems, digital logic design, or operating systems. Excellent technical writing and attention to detail are essential.
Preferred Qualifications
Experience with data annotation, data quality, or evaluation systems and proficiency in engineering software (e.g., SolidWorks, MATLAB, ANSYS).
Why Join Us
Enjoy competitive pay, flexible remote work, freelance autonomy, and global collaboration on advanced AI projects.
Key skills/competency
- Computer Architecture
- Hardware Design
- Embedded Systems
- Digital Logic
- FPGA
- HDL
- Technical Auditing
- Data Annotation
- Analytical Writing
- Problem Solving
How to Get Hired at Alignerr
- Research Alignerr's culture: Study their mission, values, and recent projects.
- Customize your resume: Highlight advanced engineering and AI skills.
- Prepare your portfolio: Include detailed technical projects and solutions.
- Practice technical interviews: Focus on hardware and software design topics.
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