Computer Engineering — AI Data Trainer

About the role

This opportunity is for experienced computer engineers who want to contribute to advanced AI model development. You will help evaluate and improve language models by creating demanding technical tasks, checking model responses, and refining the quality of AI reasoning across hardware- and systems-related topics.

The role is fully remote, flexible, and suited to professionals who want high-impact freelance work with technical depth.

Role details

• Organization: Alignerr
• Engagement type: Hourly contract
• Location: Remote
• Weekly commitment: 10 to 40 hours

Key responsibilities

You will design challenging engineering prompts, build reference solutions, assess AI-generated technical content, and provide structured feedback to improve model accuracy and reasoning.

• Create advanced computer engineering problems covering areas such as RISC-V and ARM architecture, FPGA work, memory handling, and hardware-software co-design.
• Write detailed, step-by-step reference answers, including assembly code, HDL examples such as Verilog or VHDL, and architecture diagrams.
• Review AI outputs such as C/C++ programs, logic designs, and operating-system kernels for technical correctness, performance, and standards compliance.
• Spot issues in AI reasoning, including race conditions, memory leaks, and timing constraint errors, then provide clear corrective feedback.

What we are looking for

• Applicants should be currently pursuing or already holding a Master's degree or PhD in Computer Engineering, Computer Science with a hardware concentration, or a similar discipline.
• Strong knowledge in at least one of these areas is important: computer architecture, embedded systems, digital logic design, or operating systems.
• You should be able to describe complex hardware and low-level software concepts clearly and in a well-organized written format.
• Precision matters, especially when working with bit-level logic, timing, and technical documentation.
• Prior experience in AI is not required.

Preferred background

• Exposure to data annotation, data quality assessment, or AI evaluation work.
• Experience using technical tools such as MATLAB, SolidWorks, or ANSYS.
• Knowledge in areas like hardware security, networking, distributed systems, or IoT.

Why this role stands out

• Work with advanced AI models being built by leading research labs.
• Enjoy an asynchronous, fully remote schedule.
• Get the independence of freelance work along with intellectually engaging assignments.
• Join a worldwide network of subject-matter experts helping shape AI development.
• There is potential for continued work and contract renewal.