Remote AI Data Trainer - Computer Architecture

Alignerr Corp.; France; Remote; EUR 55,000 - 96,000; Full time

Job summary

Alignerr is seeking a Computer Engineering — AI Data Trainer to join a remote, hourly-contract team. You will apply hardware design, architecture, and embedded systems expertise to shape how next-generation AI thinks and reasons.

You will collaborate with world-class labs to craft robust evaluation tasks, write reference solutions, and audit AI outputs across C/C++, Verilog, and VHDL, while maintaining high standards of technical accuracy.

Qualifications

• Pursuing or holding a Master’s or PhD in Computer Engineering or CS (hardware).
• Strong foundation in Computer Architecture, Embedded Systems, Digital Logic Design, or OS.
• Ability to clearly communicate complex hardware concepts in writing.
• Precise and detail-oriented, comfortable with bit-level timing and documentation.

Responsibilities

• Design engineering problems across RISC-V/ARM, FPGA, memory management, and co-design.
• Author ground-truth solutions with step-by-step write-ups, assembly code, HDL snippets, and diagrams.
• Audit AI outputs by evaluating C/C++, Verilog, VHDL, and kernel code for correctness and standards.
• Identify and document reasoning failures and provide structured feedback to improve model reasoning.
• Stress-test AI models on architecture, embedded systems, networking, distributed systems, hardware security, and OS topics.

Skills

Computer Architecture

Embedded Systems

Digital Logic Design

Operating Systems

Education

Master's or PhD in Computer Engineering/CS (hardware)

Tools

MATLAB

ANSYS

HDL simulators

Job description

Alignerr is seeking a Computer Engineering — AI Data Trainer to join a remote, hourly-contract team. You will apply hardware design, architecture, and embedded systems expertise to shape how next-generation AI thinks and reasons.

You will collaborate with world-class labs to craft robust evaluation tasks, write reference solutions, and audit AI outputs across C/C++, Verilog, and VHDL, while maintaining high standards of technical accuracy.