Computer Engineering

Associated Builders and Contractors (ABC); Miami, Northern (FL, KY); Hybrid; USD 14,000 - 55,000; Full time

Benefits offered by this job

Autonomy

Flexibility

Global collaboration

Job summary

Alignerr is seeking a Computer Engineering - AI Data Trainer to challenge advanced language models across hardware and software domains. This remote role involves designing complex problems and documenting failures to strengthen model reasoning.

You will author gold-standard solutions in assembly, HDL, and diagrams, and perform technical auditing of AI-generated code, ensuring accuracy and adherence to industry standards.

Qualifications

• Masters or PhD in related field (hardware focus).
• Strong foundation in core areas like Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Able to communicate highly technical hardware concepts and low-level software logic clearly in writing.
• High precision in checking bit-level operations, clock-cycle timing, and documentation.

Responsibilities

• 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 technical solutions with assembly code, HDL snippets, and architectural diagrams for AI training.
• Evaluate AI-generated code, including C/C++, Verilog, VHDL, and OS kernels, for accuracy and standards compliance.
• Identify reasoning gaps (race conditions, memory leaks, timing issues) and provide structured feedback to improve model thinking.

Skills

Computer Architecture

Embedded Systems

Digital Logic Design

Operating Systems

Advanced degree

Analytical writing

Attention to detail

No AI experience required

Education

Master's degree or PhD in Computer Engineering/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.