Computer Engineering

Alignerr; Deutschland; Remote; EUR 43.000 - 74.000; Teilzeit

Benefits dieser Stelle

Autonomy

Flexibility

Global collaboration

Contract extension potential

Zusammenfassung

Alignerr seeks a Computer Engineering - AI Data Trainer to work remotely on a flexible hourly contract. You will design advanced hardware problems and author rigorous ground-truth solutions to train AI models, including assembly code, HDL snippets, and architectural diagrams.

You will also audit AI-generated code and hardware designs for technical accuracy, while identifying issues in reasoning to improve model performance. Commitment ranges from 10–40 hours per week.

Qualifikationen

• Masters or PhD in Computer Engineering, CS with hardware focus or related field.
• Strong foundations in computer architecture, embedded systems, digital logic, or OS.
• Clear, concise technical writing of hardware concepts and low‑level software logic.

Aufgaben

• Develop complex problems across RISC‑V/ARM, FPGA, memory management and HW/SW co‑design.
• Author ground‑truth solutions with assembly, HDL snippets and architectural diagrams.
• technically audit AI-generated code (C/C++, Verilog, VHDL) for accuracy and standards.
• Refine AI reasoning by identifying race conditions, memory leaks and timing issues.

Kenntnisse

RISC-V

ARM

FPGA

HDL

Embedded Systems

Ausbildung

Masters (pursuing or completed)

Jobbeschreibung

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.

Computer Engineering - AI Data Trainer

• Location: Remote


• Organization: Alignerr


• Position: Computer Engineering - AI Data Trainer


• Type: Hourly Contract


• Compensation: $35–$60 /hour


• 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.