Alignerr
Computer Engineering
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Computer Engineering
Computer Engineering — AI Data Trainer
About The Role
We're looking for computer engineering experts to help train and improve the next generation of AI models. At Alignerr, we partner with the world's leading AI research labs—and your deep technical knowledge will directly shape how AI understands and reasons about hardware design, computer architecture, embedded systems, and more.
This is a rare opportunity to apply your engineering expertise in a completely new domain, work flexibly on your own schedule, and contribute to AI systems used by millions of people.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
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Design Complex Engineering Challenges Create advanced technical problems spanning RISC-V/ARM architecture, FPGA development, memory management, hardware-software co-design, and embedded systems.
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Author Ground-Truth Solutions Write rigorous, step-by-step technical solutions including:
- Assembly code
- HDL snippets
- Architectural diagrams (These serve as the gold standard for AI training.)
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Audit AI-Generated Technical Content Evaluate AI-produced code (e.g., C/C++, Verilog, VHDL), logic gate designs, and OS kernel implementations for:
- Correctness
- Efficiency
- Adherence to industry standards
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Improve AI Reasoning Identify logical flaws such as:
- Race conditions
- Memory leaks
- Improper timing constraints Provide structured feedback to sharpen AI models' technical problem-solving skills.
Who You Are
Core Requirements:
- Education: Pursuing or completed a Master’s or PhD in:
- Computer Engineering
- Computer Science (hardware focus)
- Or a closely related field
- Technical Knowledge:
Strong foundational expertise in:
- Computer Architecture
- Embedded Systems
- Digital Logic Design
- Operating Systems
- Communication: Ability to clearly explain complex hardware concepts and low-level software logic in writing.
- Attention to Detail:
Comfortable working at the level of:
- Bit operations
- Clock cycles
- Timing diagrams
- No prior AI experience required—we’ll provide the training.
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Nice to Have:
- Experience with data annotation, data quality review, or AI evaluation workflows.
- Familiarity with engineering tools like:
- MATLAB
- ANSYS
- Similar platforms.
- Hands-on experience with:
- Embedded platforms
- FPGAs
- Hardware security.
Why Join Us?
- Work on genuinely cutting-edge AI projects alongside top research teams.
- Fully remote and flexible—dictate your own schedule, work from anywhere.
- Enjoy freelance autonomy with access to a global, collaborative community.
- Gain rare firsthand insight into how advanced large language models are built and trained.
- Potential for ongoing work and contract extensions.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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