Alignerr
Computer Engineering
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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
- Systems software and operating systems
Document 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 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 (e.g., Verilog, VHDL)
- Architectural diagrams These serve as “golden responses” for AI training.
- Technical Auditing: Evaluate AI-generated:
- Code (C/C++)
- Hardware designs (logic gates)
- Operating system kernels For accuracy, efficiency, and adherence to industry standards.
- Refine Reasoning: Identify logical fallacies in AI reasoning—such as:
- Race conditions
- Memory leaks
- Improper timing constraints Provide structured feedback to improve the model’s “thinking” process.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
Essential:
- Advanced degree (Master’s, completing, or PhD) in:
- Computer Engineering
- Computer Science (hardware focus)
- Or a closely related field.
- Domain Expertise in core areas:
- Computer Architecture
- Embedded Systems
- Digital Logic Design
- Operating Systems
- Analytical Writing: Ability to clearly and concisely communicate highly technical concepts (hardware & low-level software logic).
- Attention to Detail: Precision in checking 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 AI experience required.
Preferred:
- Prior experience with:
- Data annotation/quality/evaluation systems
- Proficiency in assessing AI-generated outcomes using tools like:
- SolidWorks
- MATLAB
- ANSYS
Why Join Us?
✔ Competitive pay & flexible remote work ✔ Collaborate on cutting-edge AI projects ✔ Exposure to advanced LLM training processes ✔ Freelance autonomy, flexibility, and global opportunities ✔ Potential contract extensions
Application Process (~15–20 min):
- Submit your resume
- Complete a short screening
- Project matching + onboarding
📢 P.S.: Applications are reviewed daily. Complete your AI interview to be considered!
“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
Skills