Computer Engineering

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. #J-18808-Ljbffr