Alignerr
Computer Engineering
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Computer Engineering
Computer Engineering - AI Data Trainer
Location: Remote
About The Role
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 - AI Data Trainer Type: Hourly Contract Compensation: $35–$60/hour Location: Remote Commitment: 10–40 hours/week
What You’ll Do
- Develop complex technical challenges in fields like RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design.
- Author high-precision solutions (including assembly code, HDL snippets, and architectural diagrams) to serve as "golden responses" for AI training.
- Technically audit AI-generated outputs—such as C/C++ code, Verilog/VHDL gate designs, and OS kernels—for accuracy, efficiency, and compliance with industry standards.
- Refine AI reasoning by identifying flaws (e.g., race conditions, memory leaks, timing errors) and recommending structured improvements to the model’s reasoning process.
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Requirements
Essential
- Advanced academic qualification: A master’s degree (pursuing or completed) or PhD in Computer Engineering, Computer Science (hardware-focused), or a closely related field.
- Deep domain expertise in Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
- Strong analytical writing skills: Ability to clarify complex technical concepts with precision in written form.
- Precision-minded: High attention to detail when reviewing bit-level operations, clock timing, and technical documentation.
- (No prior AI experience required.)
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Preferred
- Experience with data annotation, data quality, or AI evaluation systems.
- Proficiency in engineering software (e.g., SolidWorks, MATLAB, ANSYS) for code/functionality verification.
Why Join Us?
- Competitive pay + flexible remote work.
- Collaborate with a team advancing leading-edge AI projects.
- Direct exposure to LLMs and AI training methodologies.
- Freelance benefits: autonomy, flexibility, and global collaboration.
- Opportunities for contract extensions.
Application Process (15–20 min total)
- Upload your resume.
- Complete a short screening.
- Get matched to a project and onboarded.
PS: Applications are reviewed daily. Act fast to move to the next step!
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