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Computer Engineering Expert - AI Content Specialist

Alignerr · Remote · Writing / editing

Computer Engineering Expert - AI Content Specialist is an open role at Alignerr, available remotely, with pay listed as $35–$60/hr.

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At a glance

Pay
$35–$60/hrStated by Alignerr
Location
Remote
Listed
Since Oct 4, last confirmed Oct 22

How the pay compares

This role$60
Alignerr median$75
Science / STEM roles median$80
All roles median$60

Higher than 23% of the 117 distinct hourly rates advertised for Science / STEM roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.

From Alignerr’s listing

“Computer Engineering Expert — AI Content Specialist About the Role We partner with the world's leading AI research labs to build and train the next generation of AI models — and we need deep technical expertise to do it right.”
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Computer Engineering Expert — AI Content Specialist About the Role We partner with the world's leading AI research labs to build and train the next generation of AI models — and we need deep technical expertise to do it right. As a Computer Engineering Expert, your knowledge of hardware architecture, embedded systems, and low-level software will directly shape how AI reasons about some of the most complex engineering problems in the world. This is a rare opportunity to apply your academic and hands-on expertise in a flexible, remote freelance role that sits at the cutting edge of AI development. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 10–40 hours/week What You'll Do Design Advanced Engineering Challenges — Craft complex, domain-specific problems spanning RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design Author Ground-Truth Solutions — Produce rigorous, step-by-step technical solutions including assembly code, HDL snippets (Verilog/VHDL), and architectural diagrams that serve as reference-quality responses for AI training Audit AI-Generated Outputs — Evaluate AI-produced code (C/C++, Verilog, VHDL), logic gate designs, and OS kernel implementations for technical accuracy, efficiency, and adherence to industry standards Refine AI Reasoning — Identify logical failures such as race conditions, memory leaks, and improper timing constraints, then provide structured feedback to improve how models think through hardware and systems problems Who You Are Holds or is pursuing a Master's or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field Strong foundational expertise in one or more of: Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems Able to communicate complex hardware concepts and low-level software logic clearly and concisely in writing Highly detail-oriented — comfortable working at the level of bit operations, clock

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About Alignerr: part of Labelbox. See the full profile →

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Frequently asked questions

How do I apply for the Computer Engineering Expert - AI Content Specialist role at Alignerr?

Applications go through Alignerr's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Alignerr's access model is "Open / self-serve" (Open roles / applications). This listing was first seen here on October 4, 2026 and was still live at the last check.

Is the Computer Engineering Expert - AI Content Specialist role at Alignerr remote?

Yes - Alignerr lists this role as remote.

What does the Computer Engineering Expert - AI Content Specialist role at Alignerr pay?

Alignerr lists this role's pay as $35–$60/hr, quoted from the listing rather than estimated.

What kind of work is Computer Engineering Expert - AI Content Specialist?

Writing / editing. AI training, evaluation, coding, writing and specialist review

Is Alignerr a legitimate AI-training platform?

Labelbox expert network - and that relationship is rated "Confirmed" here because it can be checked against labelbox.com rather than taken on Alignerr's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.

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