At a Glance
- Tasks: Train AI models by solving complex engineering challenges and auditing AI-generated content.
- Company: Alignerr, a leader in AI research collaboration.
- Benefits: Flexible remote work, competitive pay, and potential for ongoing contracts.
- Other info: Join a global community and gain unique insights into AI development.
- Why this job: Shape the future of AI while working on cutting-edge projects from anywhere.
- Qualifications: Master’s or PhD in Computer Engineering or related field; strong hardware knowledge required.
The predicted salary is between 30 - 40 £ per hour.
About The Role
We're looking for computer engineering experts to help train and improve the next generation of AI models. At Alignerr, we partner with the world's leading AI research labs — and your deep technical knowledge will directly shape how AI understands and reasons about hardware design, computer architecture, embedded systems, and more.
This is a rare opportunity to apply your engineering expertise in a completely new domain, work flexibly on your own schedule, and contribute to AI systems used by millions of people.
What You'll Do
- Design complex engineering challenges — create advanced technical problems spanning RISC‑V/ARM architecture, FPGA development, memory management, hardware‑software co‑design, and embedded systems.
- Author ground‑truth solutions — write rigorous, step‑by‑step technical solutions including assembly code, HDL snippets, and architectural diagrams that serve as the gold standard for AI training.
- Audit AI‑generated technical content — evaluate AI‑produced code (C/C++, Verilog, VHDL), logic gate designs, and OS kernel implementations for correctness, efficiency, and adherence to industry standards.
- Improve AI reasoning — identify logical flaws such as race conditions, memory leaks, and improper timing constraints, then provide structured feedback to sharpen how AI models think through technical problems.
Who You Are
- Pursuing or completed a Master’s or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field.
- Strong foundational knowledge in one or more of: Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
- Able to communicate complex hardware concepts and low‑level software logic clearly in writing.
- High attention to detail — comfortable working at the level of bit operations, clock cycles, and timing diagrams.
- No prior AI experience required — we’ll provide what you need to get started.
Nice to Have
- Experience with data annotation, data quality review, or AI evaluation workflows.
- Familiarity with engineering software such as MATLAB, ANSYS, or similar tools.
- Hands‑on experience with embedded platforms, FPGAs, or hardware security.
Why Join Us
- Work on genuinely cutting‑edge AI projects alongside top research teams.
- Fully remote and flexible — work on your own schedule, from anywhere.
- Freelance autonomy with the support of a global, collaborative community.
- Gain rare, firsthand insight into how advanced large language models are built and trained.
- Potential for ongoing work and contract extension.
Remote AI Data Trainer: Hardware & Embedded Systems in Manchester employer: Alignerr
At Alignerr, we pride ourselves on being an exceptional employer that offers a unique opportunity for computer engineering experts to contribute to groundbreaking AI projects from the comfort of their own homes. Our fully remote and flexible work culture allows you to design your schedule while collaborating with top research teams, ensuring that you not only grow your technical skills but also gain invaluable insights into the future of AI technology. With a focus on freelance autonomy and a supportive global community, Alignerr is the perfect place for those seeking meaningful and rewarding employment in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Data Trainer: Hardware & Embedded Systems in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the computer engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to someone at Alignerr.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to hardware design and embedded systems. This will give potential employers a taste of what you can do and how you think, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss complex engineering challenges and how you've tackled similar problems in the past. Confidence in your expertise will impress the hiring team!
✨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 the Alignerr team.
We think you need these skills to ace Remote AI Data Trainer: Hardware & Embedded Systems in Manchester
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your deep technical knowledge in computer engineering. We want to see how your skills in hardware design and embedded systems can contribute to our AI projects, so don’t hold back!
Be Clear and Concise:When you’re writing about complex concepts, clarity is key. Use straightforward language to explain your ideas, as we need to understand your thought process without getting lost in jargon.
Tailor Your Application:Take a moment to customise your application for this role. Mention specific experiences that relate to the job description, like your work with RISC-V/ARM architecture or FPGA development, to show us you’re the perfect fit.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from 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 digital logic design. Be ready to discuss specific projects or challenges you've tackled in these areas, as this will show your deep technical expertise.
✨Showcase Your Communication Skills
Since you'll need to explain complex concepts clearly, practice articulating your thoughts on hardware design and low-level software logic. Consider preparing a few examples where you've successfully communicated intricate ideas to non-technical audiences.
✨Prepare for Technical Challenges
Expect to face some engineering problems during the interview. Familiarise yourself with RISC-V/ARM architecture and be ready to solve problems related to memory management or hardware-software co-design. Practising coding challenges can help you feel more confident.
✨Ask Insightful Questions
Demonstrate your interest in the role by asking questions about the AI models you'll be working with. Inquire about the types of projects Alignerr is involved in and how your contributions will impact the development of AI systems. This shows you're genuinely engaged and eager to contribute.
