Computer Engineering - AI Data Trainer
Location: Remote
Overview
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models.
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 (pursuing or completed) or Ph.D. in Computer Engineering, Computer Science with a hardware focus, or a closely related field.
* Domain Expertise: Strong foundational knowledge in Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
* Analytical Writing: 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 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.
Benefits
* Competitive pay and flexible remote work.
* Collaborate with a team working on cutting‑edge AI projects.
* Exposure to advanced LLMs and their training processes.
* Freelance perks: autonomy, flexibility, and global collaboration.
* Potential for contract extension.
Application Process
* Submit your résumé.
* Complete a short screening.
* Project matching and onboarding.
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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