$35 - $60/hr
Full-time
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Job description
Location: Remote 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. 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 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. Application Process (Takes 15-20 min) 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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Frequently asked questions
Q: What skills or qualities help someone succeed as a Computer Specialist?
A: To succeed as a Computer Specialist, key technical skills include proficiency in programming languages such as Python, Java, or C++, as well as expertise in operating systems, database management, and network administration. Additionally, strong problem-solving skills, analytical thinking, and attention to detail are essential soft skills, along with effective communication and collaboration abilities to work with cross-functional teams. These technical and soft skills enable Computer Specialists to troubleshoot complex issues, design and implement efficient solutions, and provide exceptional support to stakeholders, ultimately driving career growth and effectiveness in the role.
Q: What is the career path for a Computer Specialist?
A: A Computer Specialist typically starts as a Help Desk Technician or Junior Support Specialist, providing basic technical assistance and troubleshooting. As they gain experience, they can progress to mid-level roles such as Network Administrator, Systems Analyst, or Technical Support Specialist, where they'll focus on more complex problem-solving and system maintenance. Senior roles like IT Manager, Technical Lead, or Cybersecurity Specialist often require advanced skills and leadership abilities, offering opportunities for further professional growth and specialization.
