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.
Position Summary
Computer Engineering – AI Data Trainer • Remote • Hourly Contract • $35–$60/hr • 10–40 hours/week
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 or PhD, pursuing or completed) in Computer Engineering, Computer Science with a hardware focus, or a closely related field.
* Strong foundational knowledge in core areas such as computer architecture, embedded systems, digital logic design, or operating systems.
* Analytical writing skills: 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 prior 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.
Why Join Us
* Competitive pay and flexible remote work.
* Collaborate with a team working on cutting‐edge AI projects.
* Exposure to advanced LLMs and how they're trained.
* Freelance perks: autonomy, flexibility, and global collaboration.
* Potential for contract extension.
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