Computer Engineering

About the Role

We are looking for computer engineering experts to help train and improve AI models. At Alignerr, we partner with leading AI research labs. Your technical knowledge is needed to make AI systems smarter, more accurate, and more reliable. You will stress-test advanced language models on complex hardware and systems topics, expose their failure modes, and help build ground-truth solutions that shape how AI reasons about computer engineering.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

Key Responsibilities

• Design Challenging Problems — Create advanced computer engineering scenarios spanning RISC-V/ARM architecture, FPGA development, memory management, hardware-software co-design, embedded systems, and more.
• Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions including assembly code, HDL snippets, and architectural diagrams that serve as benchmarks for AI training.
• Audit AI Outputs — Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and OS kernel implementations for technical accuracy, efficiency, and standards compliance.
• Improve AI Reasoning — Identify flaws in AI-generated reasoning (e.g., race conditions, memory leaks, timing constraint violations) and provide structured feedback to improve model performance.

Qualifications

• Pursuing or holding a Master's or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field.
• Strong foundational knowledge in one or more of: Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Able to communicate complex hardware concepts and low-level software logic clearly in writing.
• Highly detail-oriented — comfortable working at the level of bit operations, clock cycles, and technical documentation.
• No prior AI experience required.

Nice to Have

• Experience with data annotation, data quality, or AI evaluation workflows.
• Proficiency in engineering tools such as MATLAB, ANSYS, or similar platforms.
• Familiarity with IoT, networking, distributed systems, or hardware security domains.