Computer Engineering

Alignerr Corp.; Germany; Remote; EUR 43,000 - 74,000; Part time

Benefits offered by this job

Autonomy

Flexibility

Global collaboration

Job summary

Alignerr Corp. is seeking a Computer Engineering - AI Data Trainer to work remotely. You will challenge advanced language models on hardware and systems topics, document failure modes, and produce golden solutions for AI training.

This is an hourly contract offering 10–40 hours per week with compensation ranging from $35 to $60 per hour. You will design complex problems, author rigorous solutions including HDL snippets and diagrams, and audit AI-generated code and OS kernels for technical

Qualifications

• Advanced degree in Computer Engineering or Computer Science with hardware focus.
• Strong foundational knowledge in Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Able to communicate highly technical hardware concepts clearly in writing.
• High precision in checking bit-level operations and timing.

Responsibilities

• Develop Complex Problems: design advanced computer engineering challenges across RISC-V/ARM, FPGA, memory management, and co-design.
• Author Ground-Truth Solutions: create step-by-step technical solutions with HDL snippets and diagrams for AI training.
• Technical Auditing: evaluate AI-generated code, logic designs, and OS kernels for accuracy and standards.
• Refine Reasoning: identify logical fallacies in AI reasoning and provide structured feedback.

Skills

Analytical writing

Attention to detail

Hardware design knowledge

Education

Master's degree (pursuing or completed) in Computer Engineering or Computer Science with hardware focus

Tools

SolidWorks

MATLAB

ANSYS

Job description

Computer Engineering - AI Data Trainer

• Location: Remote

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.

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.