Computer Engineering

Alignerr Corp.; Miami (FL); Remote; USD 48,000 - 83,000; Part time

Benefits offered by this job

Competitive pay

Flexible remote work

Autonomy

Global collaboration

Contract extension potential

Job summary

Alignerr Corp. is seeking a Computer Engineering - AI Data Trainer to design advanced hardware problems and author rigorous solutions for AI model training.

You will audit AI-generated code and OS components, refining model reasoning and timing accuracy, with a flexible remote schedule and 10–40 hours per week.

Qualifications

• Advanced degree in a hardware-focused field (MS or PhD).
• Strong knowledge in Computer Architecture, Embedded Systems, Digital Logic Design, or OS.
• Ability to communicate highly technical hardware concepts clearly in writing.
• High precision when checking bit-level operations, timing, and docs.
• No AI experience required.

Responsibilities

• Develop complex problems across RISC‑V/ARM, FPGA, memory management, and co-design.
• Author ground-truth solutions with HDL snippets and diagrams for training.
• Tech auditing of AI-generated code, Verilog/VHDL, and OS kernels for accuracy.
• Refine reasoning by identifying race conditions and memory issues; give structured feedback.

Skills

Domain Expertise

Analytical Writing

Attention to Detail

No AI experience required

Education

Masters or PhD in Computer Engineering/CS with hardware focus

Tools

SolidWorks

MATLAB

ANSYS

Job description

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.