Computer Engineering AI Data Trainer

Remote Computer Engineering AI Data Trainer work combines computer architecture expertise with rigorous evaluation of advanced language models. Set your schedule for 10–40 hours weekly as an hourly contractor.

Alignerr partners with leading AI research labs to build more reliable AI systems. You will challenge, audit, and refine models using expertise in hardware, systems, and low-level software. The work covers technical problem design, reference solutions, and structured feedback.

Key Responsibilities:

• Design challenges spanning RISC-V, ARM, FPGA, and memory management
• Author solutions with assembly, HDL snippets, and diagrams
• Audit C/C++, Verilog, VHDL, logic designs, and OS kernels
• Identify race conditions, memory leaks, and timing failures
• Stress-test models across architecture, networking, and security

Requirements:

• Master's or PhD in Computer Engineering or related discipline
• Expertise in architecture, embedded systems, digital logic, or operating systems
• Clear written communication of hardware and low-level software concepts
• Precision with bit-level operations and clock-cycle timing
• Ability to work independently and asynchronously

Apply computer engineering depth to AI data training through model auditing, technical problem design, and precise written solutions.