Computer Engineering

Alignerr; Atlanta (GA); Remote; USD 48,000 - 83,000; Part time

Benefits offered by this job

Competitive pay

Flexible remote work

Global collaboration

Potential contract extension

Job summary

Alignerr Corp. is seeking a Computer Engineering - AI Data Trainer for a remote hourly contract. You will design advanced hardware problems and generate golden solutions for AI training, including HDL snippets and architectural diagrams.

You will audit AI-generated code and refine AI reasoning, collaborating with leading AI teams. Commitment ranges from 10 to 40 hours per week, with compensation of $35–$60 per hour.

Qualifications

• Masters (pursuing or completed) or PhD in Computer Engineering, CS with hardware focus, or a closely related field.
• Strong foundational knowledge in Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• The ability to communicate highly technical hardware concepts and low‑level software logic clearly and concisely in written form.
• High attention to detail when checking bitield operations, timing, and technical documentation.

Responsibilities

• Develop Complex Problems: design advanced computer engineering challenges across RISC‑V/ARM, FPGA, memory management, and HW/SW co-design.
• Author Ground‑Truth Solutions: create step‑by‑step technical solutions, including HDL snippets and architectural diagrams.
• Technical Auditing: evaluate AI‑generated code and hardware designs for accuracy, efficiency, and standards compliance.
• Refine Reasoning: identify logical issues in AI reasoning and provide feedback to improve model thinking.

Skills

Computer Architecture

Embedded Systems

Digital Logic Design

Operating Systems

Education

Masters or PhD in Computer Engineering or 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.

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.