Remote AI Data Trainer: Computer Engineering for ML Models

Associated Builders and Contractors (ABC); Miami, Northern (FL, KY); Hybrid; USD 14,000 - 55,000; Full time

Benefits offered by this job

Autonomy

Flexibility

Global collaboration

Job summary

Alignerr is seeking a Computer Engineering - AI Data Trainer to challenge advanced language models across hardware and software domains. This remote role involves designing complex problems and documenting failures to strengthen model reasoning.

You will author gold-standard solutions in assembly, HDL, and diagrams, and perform technical auditing of AI-generated code, ensuring accuracy and adherence to industry standards.

Qualifications

• Masters or PhD in related field (hardware focus).
• Strong foundation in core areas like Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Able to communicate highly technical hardware concepts and low-level software logic clearly in writing.
• High precision in checking bit-level operations, clock-cycle timing, and documentation.

Responsibilities

• Design advanced computer engineering challenges across domains like RISC-V/ARM architecture, FPGA development, memory management, and HW-SW co-design.
• Create rigorous, step-by-step technical solutions with assembly code, HDL snippets, and architectural diagrams for AI training.
• Evaluate AI-generated code, including C/C++, Verilog, VHDL, and OS kernels, for accuracy and standards compliance.
• Identify reasoning gaps (race conditions, memory leaks, timing issues) and provide structured feedback to improve model thinking.

Skills

Computer Architecture

Embedded Systems

Digital Logic Design

Operating Systems

Advanced degree

Analytical writing

Attention to detail

No AI experience required

Education

Master's degree or PhD in Computer Engineering/Computer Science with hardware focus

Tools

SolidWorks

MATLAB

ANSYS

Job description

Alignerr is seeking a Computer Engineering - AI Data Trainer to challenge advanced language models across hardware and software domains. This remote role involves designing complex problems and documenting failures to strengthen model reasoning.

You will author gold-standard solutions in assembly, HDL, and diagrams, and perform technical auditing of AI-generated code, ensuring accuracy and adherence to industry standards.