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. Remote work.
* Location: Remote
You’ll challenge advanced language models on topics such as computer architecture, hardware design, embedded systems, IoT, networking, distributed systems, hardware security, and systems software including operating systems—documenting every failure mode so we can harden model reasoning.
Organization
Alignerr | Position: Computer Engineering Expert – AI Content Specialist | 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 such as 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.
Requirements
* Advanced degree (Masters or PhD) in Computer Engineering, Computer Science with a hardware focus, or a closely related field.
* Domain expertise in computer architecture, embedded systems, digital logic design, or operating systems.
* Strong analytical writing skills; ability to communicate highly technical hardware concepts and low‑level software logic clearly and concisely.
* 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.
Application Process
* Submit your resume.
* Complete a short screening.
* Project matching and onboarding.
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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