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- Tasks: Design advanced computer engineering challenges and create rigorous technical solutions for AI training.
- Company: Alignerr, a leader in AI research collaboration.
- Benefits: Competitive pay, flexible remote work, and potential for contract extension.
- Why this job: Work on cutting-edge AI projects and enhance your skills in a dynamic environment.
- Qualifications: Masters or PhD in Computer Engineering or related field; strong foundational knowledge required.
- Other info: Freelance perks include autonomy, flexibility, and global collaboration.
The predicted salary is between 26 - 44 £ per hour.
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 like 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: 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:
- 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 Expert - AI Content Specialist in Birmingham employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Engineering Expert - AI Content Specialist in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and computer engineering space on LinkedIn or relevant forums. 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 computer engineering. Practice 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 the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals like you!
We think you need these skills to ace Computer Engineering Expert - AI Content Specialist in Birmingham
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 the perfect fit for this 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 a project report or a blog post, let us see how you break down intricate concepts into digestible content.
Apply Through Our Website: We encourage you to submit your application through our website for a smoother process. It helps us keep track of everything and ensures you’re considered promptly. Don’t miss out on this opportunity—apply today!
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 provide a solution, so practice articulating your thought process in a structured manner.
✨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.
✨Engage with AI Concepts
Even if you don't have direct AI experience, showing an understanding of AI reasoning and its challenges can set you apart. Familiarise yourself with common issues like race conditions or memory leaks, and be ready to discuss how you would approach refining AI models.
