Computer Engineering

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

Benefits dieser Stelle

Autonomy

Flexibility

Global collaboration

Zusammenfassung

Alignerr is seeking a Computer Engineering - AI Data Trainer to design challenging hardware- and software-oriented tasks for AI model training. The role involves crafting complex problems spanning RISC-V/ARM, FPGA, and memory management, and producing ground-truth solutions with HDL snippets and diagrams.

Applicants should hold an advanced degree in computer engineering or computer science with a hardware emphasis, and demonstrate strong technical writing and meticulous documentation.

Qualifikationen

• Advanced degree in Computer Engineering/CS with hardware focus or closely related field.
• Strong foundation in computer architecture, embedded systems, digital logic design, or OS.
• Ability to communicate highly technical hardware concepts clearly in writing.
• Attention to bit-level operations, clock-cycle timing, and technical documentation.

Aufgaben

• Design advanced computer engineering challenges across RISC-V/ARM, FPGA, memory management, and HW-SW co-design.
• Create rigorous step-by-step ground-truth solutions with assembly code, HDL snippets, and diagrams.
• Evaluate AI-generated code and OS kernels for accuracy, efficiency, and standards compliance.
• Identify and address race conditions, memory leaks, and timing issues to improve model reasoning.

Kenntnisse

Computer Architecture

Embedded Systems

Digital Logic

Operating Systems

Hardware Security

Verilog/VHDL

Ausbildung

Masters or PhD in CS/CE

Tools

Verilog

VHDL

MATLAB

SolidWorks

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.

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.