Remote AI Data Trainer: Computer Engineering

Alignerr Corp.; United States; Remote; MXN 901,000 - 1,544,000; Full time

Benefits offered by this job

Autonomy

Flexibility

Global collaboration

Job summary

Alignerr Corp. is hiring a Computer Engineering - AI Data Trainer to challenge advanced language models on hardware and systems topics. This remote hourly contract offers flexible hours and the chance to work with leading AI research teams.

You’ll design complex problems, author ground-truth solutions with HDL/assembly, and audit AI-generated code for technical accuracy. Commitment ranges from 10 to 40 hours per week, with competitive pay per hour.

Qualifications

• Advanced degree in Computer Engineering, CS with hardware focus, or related field.
• Strong foundational knowledge in core areas such as Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Analytical writing to clearly communicate highly technical hardware concepts and low-level software logic.
• Attention to detail for bit-level operations, clock-cycle timing, and technical documentation.
• No AI experience required.

Responsibilities

• Develop complex problems across domains like RISC-V/ARM, FPGA development, memory management, and hardware-software co-design.
• Author ground-truth solutions with assembly code, HDL snippets, and architectural diagrams for AI training.
• Technical auditing of AI-generated code (C/C++, Verilog, VHDL), logic designs, and OS kernels.
• Refine AI reasoning by identifying race conditions, memory leaks, and timing issues.

Skills

Computer Architecture

Embedded Systems

Digital Logic Design

Operating Systems

Education

Masters or PhD in Computer Engineering or CS with hardware focus

Tools

SolidWorks

MATLAB

ANSYS

Job description

Alignerr Corp. is hiring a Computer Engineering - AI Data Trainer to challenge advanced language models on hardware and systems topics. This remote hourly contract offers flexible hours and the chance to work with leading AI research teams.

You’ll design complex problems, author ground-truth solutions with HDL/assembly, and audit AI-generated code for technical accuracy. Commitment ranges from 10 to 40 hours per week, with competitive pay per hour.