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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: 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: No AI experience needed; daily application reviews for quick feedback.
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 Edinburgh employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Engineering - AI Data Trainer in Edinburgh
✨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 your resume.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and common challenges in AI data training. Practise explaining complex ideas simply—this will impress interviewers and show your communication skills.
✨Tip Number 4
Don't forget to apply through our website! It’s quick and easy, plus it ensures your application gets seen by the right people. We review applications daily, so get your name in the mix!
We think you need these skills to ace Computer Engineering - AI Data Trainer in Edinburgh
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!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for the role. Keep it concise but impactful—let us know what excites you about working with us!
Showcase Your Analytical Writing Skills: Since we value clear communication of complex ideas, include examples of your technical writing. Whether it’s documentation or reports, show us how you can break down intricate concepts into understandable content.
Follow Up After Applying: Once you’ve submitted your application through our website, don’t hesitate to follow up! A quick message expressing your enthusiasm can help keep your application top of mind for 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 concepts like RISC-V/ARM architecture or FPGA development, as these are likely to come up during the interview.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical writing abilities. You might be asked to explain complex technical problems or solutions clearly and concisely, so practice articulating your thoughts on topics like memory management or operating systems.
✨Attention to Detail is Key
Since the role requires a high level of precision, be prepared to discuss how you ensure accuracy in your work. Bring examples of past projects where attention to detail made a significant difference, especially in areas like bit-level operations or technical documentation.
✨Be Ready for Technical Audits
Familiarise yourself with evaluating AI-generated code and logic gate designs. You may be asked to critique some code during the interview, so having a solid understanding of C/C++, Verilog, or VHDL will help you shine.
