Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 role at Alignerr. Be among the first 25 applicants. 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 in London employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Engineering - AI Data Trainer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and computer engineering space on LinkedIn or other platforms. A friendly chat can open doors you didn’t even know existed.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and hardware design. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions in your field. We recommend practicing coding challenges and discussing your thought process out loud.
✨Tip Number 4
Don’t forget to apply through our website! It’s quick and easy, plus it shows you’re serious about joining Alignerr. Let’s get you that interview!
We think you need these skills to ace Computer Engineering - AI Data Trainer in London
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 exciting challenges we tackle at Alignerr!
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 us see your best work!
Be Detail-Oriented: Pay close attention to the details in your application. Just like in engineering, precision matters! Double-check for any typos or errors before hitting submit, as it reflects your attention to detail.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s quick and easy, and we review applications daily, so don’t miss out on this opportunity!
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.
✨Prepare for Technical Questions
Expect to face technical questions that test your understanding of concepts like RISC-V/ARM architecture and FPGA development. Practise explaining complex ideas clearly and concisely, as you'll need to demonstrate your analytical writing skills during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you approach complex problems. Think of examples where you've designed solutions or evaluated code for accuracy. Highlight your attention to detail and how you ensure high-quality outcomes in your work.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions about Alignerr's projects and team dynamics. This shows your genuine interest in the role and helps you gauge if it's the right fit for you. Plus, it gives you a chance to learn more about their cutting-edge AI initiatives!
