Computer Engineering AI Data Trainer
Alignerr
Job Overview
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Job Description
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. The role is for a Computer Engineering AI Data Trainer, challenging advanced language models on topics like computer architecture, embedded systems, IoT, networking, hardware security, and operating systems.
Position Details
Organization: Alignerr Position: Computer Engineering AI Data Trainer Type: Hourly Contract Compensation: $35–$60 per hour Location: Remote Commitment: 10–40 hours per week
What You’ll Do
- Develop complex computer engineering challenges across various domains.
- Author detailed ground-truth solutions with assembly, HDL, and diagrams.
- Conduct technical audits on AI-generated code and designs.
- Refine AI reasoning by identifying logical fallacies and technical issues.
Requirements
- Master’s (in progress or completed) or PhD in Computer Engineering or related field.
- Strong foundation in Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
- Excellent technical writing skills for detailed explanation.
- High attention to detail when evaluating technical documentation.
Preferred
- Experience with data annotation or evaluation systems.
- Proficiency in engineering software like SolidWorks, MATLAB, or ANSYS.
Why Join Us
Enjoy competitive pay, flexible remote work, and global collaboration. Engage with cutting-edge AI projects and gain exposure to advanced LLM training techniques. Freelance perks include autonomy and flexibility with potential for contract extension.
Application Process
Submit your resume, complete a short screening, and go through project matching and onboarding (approximately 15-20 minutes).
Key skills/competency
- Computer Architecture
- Embedded Systems
- Digital Logic
- Hardware Design
- HDL
- Technical Auditing
- Data Annotation
- Problem Solving
- Technical Writing
- AI Evaluation
How to Get Hired at Alignerr
- Research Alignerr's culture: Explore mission, values, and team achievements online.
- Customize your resume: Highlight technical and writing skills.
- Showcase domain expertise: Focus on computer engineering details.
- Prepare for technical screening: Review hardware design and coding challenges.
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