Alignerr
Computer Engineering
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Computer Engineering
Computer Engineering - AI Data Trainer
Location: Remote Type: Hourly Contract Compensation: $35–$60/hour Commitment: 10–40 hours/week
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.
What You’ll Do
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Develop Complex Problems: Design advanced computer engineering challenges across domains like:
- RISC-V/ARM architecture
- FPGA development
- Memory management
- Hardware-software co-design
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Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions, including:
- Assembly code snippets
- Hardware description language (HDL) snippets
- Architectural diagrams as "golden responses" for AI training
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Technical Auditing: Evaluate AI-generated content for accuracy and efficiency, including:
- C/C++ code
- Verilog/VHDL logic gate designs
- Operating system kernels
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Refine Reasoning:
- Identify technical flaws (e.g., race conditions, memory leaks, improper timing)
- Provide structured feedback to enhance model robustness
Requirements
Core:
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Advanced Degree: Master’s (pursuing or completed) or PhD in one of the following:
- Computer Engineering
- Computer Science (with a hardware focus)
- Related field
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Domain Expertise: Proficiency in core areas:
- Computer Architecture
- Embedded Systems
- Digital Logic Design
- Operating Systems
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Analytical Writing: Ability to explain highly technical hardware concepts and low-level software logic clearly and concisely.
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Attention to Detail:
- Precision in bit-level operations, clock-cycle timing, and technical documentation.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
- No prior AI experience required
Preferred:
- Experience with data annotation, data quality, or evaluation systems.
- Proficiency in engineering software (e.g., SolidWorks, MATLAB, ANSYS) to assess AI-generated workflows.
Why Join Us
- Competitive pay + flexible remote work
- Collaborate with a team working on cutting-edge AI projects
- Gain exposure to advanced LLMs and their training processes
- Flexible freelance opportunity with:
- Autonomy
- Global collaboration
- Potential for contract extension
Application Process (~15–20 min)
- Submit your resume
- Complete a short screening
- Project matching and onboarding
[Note: Applications reviewed daily. Complete all steps for consideration.]
PS: Our team reviews applications daily. Please complete your AI interview and application steps for this opportunity.
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