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- Tasks: Design advanced computer engineering challenges and create rigorous technical solutions.
- Company: 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 refine AI reasoning.
- Qualifications: Masters or PhD in Computer Engineering or related field required.
- Other info: Join a dynamic team with potential for contract extension.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Overview: At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
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.
Qualifications:
- 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 - AI Data Trainer in Manchester employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Engineering - AI Data Trainer in Manchester
✨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. 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 relevant to the role. 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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Computer Engineering - AI Data Trainer in Manchester
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 match the job description, so don’t be shy about showcasing your expertise in areas like RISC-V/ARM architecture or FPGA development.
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. We love seeing enthusiasm and a clear connection to what we do at Alignerr.
Show Off Your Analytical Writing Skills: Since analytical writing is key for this role, include examples of your technical writing in your application. Whether it’s a project report or a blog post, we want to see how well you can communicate complex ideas clearly and concisely.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure your application gets into the right hands. Plus, we review applications daily, so the sooner you apply, the better!
How to prepare for a job interview at Alignerr
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of computer architecture, embedded systems, and digital logic design. Be ready to discuss specific projects or challenges you've tackled in these areas, as this will show your depth of understanding and passion for the field.
✨Prepare for Technical Questions
Expect to face questions that test your analytical skills and technical knowledge. Practice explaining complex concepts clearly and concisely, as you'll need to demonstrate your ability to communicate technical ideas effectively during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to walk through your thought process when solving engineering problems. Use examples from your past experiences where you identified issues like race conditions or memory leaks, and explain how you approached and resolved them.
✨Ask Insightful Questions
At the end of the interview, don’t hesitate to ask questions about the team’s current projects or the technologies they use. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
