Computer Engineering

Alignerr; Cambridge; On-site; GBP 36,000 - 61,000; Part time

Benefits offered by this job

Autonomy

Flexibility

Global collaboration

Job summary

Alignerr partners with world-leading AI research teams to build and train cutting-edge AI models. You’ll design complex computer engineering challenges across RISC-V/ARM architectures, FPGA development, memory management, and hardware-software co-design for rigorous AI training.

You’ll author ground-truth solutions with HDL snippets and architectural diagrams, perform technical auditing of C/C++, Verilog, and OS kernels, and refine model reasoning by identifying race conditions and timing

Qualifications

• Masters (pursuing or completed), or PhD in Computer Engineering, Computer Science with a hardware focus, or closely related field.
• Strong foundational knowledge in core areas such as Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Analytical writing ability to communicate highly technical hardware concepts and low-level software logic clearly and concisely in written form.
• Attention to detail with high precision when checking bit-level operations, clock‑cycle timing, and technical documentation.
• No AI experience required.

Responsibilities

• 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: assembly code, HDL snippets, and architectural diagrams for AI training.
• Technical auditing: evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and OS kernels for accuracy and efficiency.
• Refine reasoning: identify logical fallacies in AI reasoning and provide structured feedback to improve model thinking.

Skills

Computer Architecture

Embedded Systems

Digital Logic Design

Operating Systems

Analytical Writing

Attention to Detail

No AI Experience Required

Education

Master's degree in Computer Engineering

PhD in Computer Engineering

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

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.