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- Tasks: Design and develop advanced computer engineering challenges for AI training.
- Company: Join Alignerr, a leader in AI research collaboration.
- Benefits: Earn $35-$60/hr with flexible remote work and freelance perks.
- Why this job: Work on cutting-edge AI projects and enhance your technical skills.
- Qualifications: Masters or PhD in Computer Engineering or related field required.
- Other info: Gain exposure to advanced AI models and enjoy global collaboration.
The predicted salary is between 28 - 48 ÂŁ per hour.
Join to apply for the Computer Engineering - AI Data Trainer role at Alignerr. This range is provided by Alignerr. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range: $35.00/hr - $60.00/hr
Location: Remote
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. You’ll challenge advanced language models on topics such as 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
- 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, and architectural diagrams that serve as "golden responses" for AI training.
- Technical Auditing: Evaluate AI‑generated code (C/C++, Verilog, VHDL), logic gate designs, and operating system kernels for technical accuracy, efficiency, and adherence to industry standards.
- Refine Reasoning: Identify logical fallacies in AI reasoning—such as race conditions, memory leaks, or improper timing constraints—and provide structured feedback to improve the model's "thinking" process.
Requirements
- Advanced Degree: Masters (pursuing or completed) or PhD in Computer Engineering, Computer Science with a hardware focus, or a closely related field.
- Domain Expertise: Strong foundational knowledge in core areas such as Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
- Analytical Writing: The ability to communicate highly technical hardware concepts and low-level software logic clearly and concisely in written form.
- Attention to Detail: High level of precision when checking bit-level operations, clock‑cycle timing, and technical documentation.
- No AI experience required.
Preferred
- Prior experience with data annotation, data quality, or evaluation systems.
- Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI‑generated code or workflows.
Why Join Us
- Competitive pay and flexible remote work.
- Collaborate with a team working on cutting‑edge AI projects.
- Exposure to advanced LLMs and how they’re trained.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process (Takes 15-20 min)
- Submit your resume.
- Complete a short screening.
- Project matching and onboarding.
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Seniority level: Internship
Employment type: Contract
Job function: Education and Training
Industries: Technology, Information and Internet
Computer Engineering - AI Data Trainer employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Engineering - AI Data Trainer
✨Tip Number 1
Get your networking game on! Reach out to folks in the AI and computer engineering space. LinkedIn is a goldmine for connecting with industry professionals who might just have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and hardware design. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Don’t shy away from applying directly through our website. It’s quick and easy, plus it shows your enthusiasm for the role. Remember, the sooner you apply, the better your chances of being among the first applicants!
✨Tip Number 4
Prepare for interviews by brushing up on common technical questions related to computer architecture and embedded systems. Practising your responses will help you feel more confident and ready to impress!
We think you need these skills to ace Computer Engineering - AI Data Trainer
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your relevant skills and experiences that align with the Computer Engineering - AI Data Trainer role. We want to see how your background fits into the advanced topics we tackle, so don’t hold back!
Show Off Your Writing Skills: Since analytical writing is key for this position, include examples of your technical writing in your application. We love clear and concise communication, so let your writing shine through!
Be Detail-Oriented: Pay close attention to the details in your application. We’re looking for precision, especially when it comes to technical documentation. Double-check for any errors before hitting submit!
Apply Through Our Website: To make sure your application gets seen, apply directly through our website. It’s quick and easy, and we review applications daily, so you won’t be left waiting long!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on your knowledge of computer architecture, embedded systems, and hardware design. Be ready to discuss specific projects or challenges you've tackled in these areas, as this will show your expertise and passion for the field.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical writing skills by explaining complex technical concepts clearly. You might be asked to break down a problem or explain a solution, so practice articulating your thought process in a structured way.
✨Be Detail-Oriented
Since attention to detail is crucial for this role, be prepared to discuss how you ensure precision in your work. Bring examples of how you've checked for accuracy in code or documentation, and highlight any tools or methods you use to maintain high standards.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about the types of AI models you'll be working with or how the team collaborates on projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
