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: Enjoy competitive pay, 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: Daily application reviews and potential for contract extension.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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.
Location: Remote
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: 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.
Computer Engineering - AI Data Trainer in Cambridge employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Engineering - AI Data Trainer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and computer engineering space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨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 beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts relevant to the role. Practice explaining complex ideas simply—this will help you shine when discussing your expertise in computer architecture or embedded systems.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Alignerr.
We think you need these skills to ace Computer Engineering - AI Data Trainer in Cambridge
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your relevant experience in computer engineering and AI. We want to see how your skills align with the job description, so don’t be shy about showcasing your expertise!
Show Off Your Writing Skills: Since analytical writing is key for this role, include examples of your technical writing. Whether it’s documentation or project reports, we love seeing clear and concise communication that demonstrates your ability to explain complex concepts.
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 your work for any errors before hitting submit!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the quickest way for us to receive your application and get you into our review process. Plus, it shows you’re keen on joining our team!
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.
✨Show Off Your Writing Skills
Since analytical writing is key for this role, prepare to demonstrate how you can clearly communicate complex technical concepts. Bring examples of your previous work, like documentation or reports, that showcase your ability to break down intricate ideas into understandable pieces.
✨Prepare for Technical Questions
Expect to face some challenging technical questions during the interview. Practice explaining your thought process when solving problems related to AI, logic gate designs, or operating systems. This will help you articulate your reasoning and problem-solving skills effectively.
✨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 their current AI projects or how they approach model training. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
