Computer Engineering

Alignerr Corp.; Ireland; A distancia; EUR 43.000 - 74.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Competitive pay

Flexible remote

Cutting-edge AI projects

LLM exposure

Autonomy & global collaboration

Contract extension

Descripción de la vacante

Alignerr is seeking a Computer Engineering - AI Data Trainer for remote, hourly work. You will design complex problems across RISC-V/ARM, FPGA, memory management, and HW-SW co-design to train advanced AI models.

You will author step-by-step solutions, audit AI-generated code, and provide feedback to improve model reasoning. Masters or PhD in computer engineering or CS with hardware focus preferred; no AI experience required.

Formación

• Masters (pursuing or completed) in Computer Engineering, Computer Science with hardware focus, or closely related field.
• Strong knowledge in Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Ability to clearly communicate highly technical hardware concepts and low-level software logic in writing.
• High precision when checking bit-level operations, clock-cycle timing, and technical documentation.

Responsabilidades

• 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 solutions with assembly code, HDL snippets, and architectural diagrams for AI training.
• Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gates, and OS kernels for accuracy and standards compliance.
• Identify logical fallacies in AI reasoning and provide structured feedback to improve model thinking.

Conocimientos

Domain Expertise

Analytical Writing

Attention to Detail

No AI Experience Required

Educación

Masters or PhD in Computer Engineering/CS with hardware focus

Herramientas

SolidWorks

MATLAB

ANSYS

Descripción del empleo

About The Job

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.

You’ll challenge advanced language models on topics like computer architecture and hardware design, embedded systems and IoT, networking and distributed systems, hardware security, and systems software and operating systems—documenting every failure mode so we can harden model reasoning.

Computer Engineering - AI Data Trainer

• Location: Remote

Organization

Alignerr

Position

Computer Engineering - AI Data Trainer

Type

Hourly Contract

Compensation

$35–$60 /hour

Location

Remote

Commitment

10–40 hours/week

What You’ll Do

• Develop Complex Problems: Design advanced computer engineering challenges across domains like RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design.
• Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions, including assembly code, hardware description language (HDL) snippets, and architectural diagrams that serve as "golden responses" for AI training.
• Technical Auditing: Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and operating system kernels for technical accuracy, efficiency, and adherence to industry standards.
• Refine Reasoning: Identify logical fallacies in AI reasoning—such as race conditions, memory leaks, or improper timing constraints—and provide structured feedback to improve the model's "thinking" process.

Requirements

• Advanced Degree: Masters (pursuing or completed) or PhD in Computer Engineering, Computer Science with a hardware focus, or a closely related field.
• Domain Expertise: Strong foundational knowledge in core areas such as Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Analytical Writing: The ability to communicate highly technical hardware concepts and low-level software logic clearly and concisely in written form.
• Attention to Detail: High level of precision when checking bit-level operations, clock-cycle timing, and technical documentation.
• No AI experience required

Preferred

• Prior experience with data annotation, data quality, or evaluation systems
• Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI-generated code or workflows.

Why Join Us

• Competitive pay and flexible remote work.
• Collaborate with a team working on cutting‑edge AI projects.
• Exposure to advanced LLMs and how they’re trained.
• Freelance perks: autonomy, flexibility, and global collaboration.
• Potential for contract extension.