Computer Engineering

Alignerr; Sheffield (TX); Teletrabalho; USD 48 000 - 83 000; Tempo parcial

Vantagens oferecidas por esta oferta de emprego

Autonomy

Global collaboration

Resumo da oferta

Alignerr Corp. is seeking an experienced Computer Engineering - AI Data Trainer to work remotely as an hourly contract professional.

You will design challenging hardware problems, author gold-standard solutions, and audit AI-generated code to improve model training and reasoning. We value precise technical communication, deep knowledge of computer architecture and OS concepts, and a proactive approach to finding and fixing issues in hardware-software interactions.

Qualificações

• Advanced degree in Computer Engineering or CS with hardware focus.
• Strong knowledge in computer architecture, embedded systems, digital logic, and OS.
• Clear written communication of complex hardware concepts.
• Attention to detail in bit-level operations and timing.
• No AI experience required.

Responsabilidades

• Design advanced challenges across RISC‑V/ARM, FPGA, memory management, and HW-SW co-design.
• Create gold-standard solutions with HDL snippets and diagrams.
• Audit AI-generated code, Verilog, VHDL, and OS kernels for accuracy.
• Provide structured feedback to improve AI reasoning and timing.

Conhecimentos

Computer Architecture

Embedded Systems

Digital Logic Design

Operating Systems

Formação académica

Masters or PhD in Computer Engineering / CS (hardware focus)

Ferramentas

SolidWorks

MATLAB

ANSYS

Descrição da oferta de emprego

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.