Computer Engineering Expert - AI Content Specialist

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

Benefits offered by this job

Freelance perks: autonomy, flexibility

Job summary

Alignerr is seeking a Computer Engineering Expert - AI Content Specialist to design advanced challenges in RISC-V/ARM architectures, FPGA development, memory management, and hardware–software co-design for AI training. This remote hourly contract offers flexible hours and collaboration with leading AI researchers.

You will author ground-truth solutions, audit AI-generated code, and help refine model reasoning by identifying timing, race conditions, and memory issues.

Qualifications

• 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

Responsibilities

• 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, 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.

Skills

Analytical writing

Attention to detail

Domain expertise in computer hardware

Education

Master's degree

PhD in Computer Engineering or Computer Science 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.

• Location: Remote

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.

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Organization

Alignerr

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Position

Computer Engineering Expert - AI Content Specialist

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Type

Hourly Contract

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Compensation

$35–$60 /hour

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Location

Remote

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Commitment

10–40 hours/week

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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.

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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

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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.

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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.