At a Glance
- Tasks: Design advanced engineering challenges and create technical solutions for AI training.
- Company: Join Alignerr, a leader in AI research collaboration.
- Benefits: Earn $35–$60/hour with flexible remote work and freelance perks.
- Other info: No AI experience needed; great opportunity for career growth.
- Why this job: Work on cutting-edge AI projects and refine your technical skills.
- Qualifications: Masters or PhD in Computer Engineering or related field; strong analytical writing skills.
The predicted salary is between 28 - 48 £ per hour.
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.
Position Details
- Organization: Alignerr
- Position: Computer Engineering - AI Data Trainer
- Type: Hourly Contract
- Compensation: $35–$60 /hour
- Location: Remote
- Commitment: 10–40 hours/week
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.
AI Data Trainer & Hardware Engineer (Remote) employer: Alignerr Corp.
At Alignerr, we pride ourselves on being an exceptional employer by offering competitive pay and the flexibility of remote work, allowing you to balance your professional and personal life seamlessly. Our collaborative work culture fosters innovation as you engage with cutting-edge AI projects alongside leading experts in the field, while also providing ample opportunities for professional growth and autonomy in your freelance role. Join us to be part of a dynamic team that values your expertise and encourages global collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Trainer & Hardware Engineer (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and hardware engineering space on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to computer architecture or embedded systems. This gives potential employers a taste of what you can do.
✨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 stand out as a clear communicator.
✨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 review applications daily, so you won’t be left hanging!
We think you need these skills to ace AI Data Trainer & Hardware Engineer (Remote)
Some tips for your application 🫡
Craft a Tailored 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 in areas like RISC-V/ARM architecture or FPGA development.
Show Off Your Analytical Writing Skills:Since this role requires clear communication of complex technical concepts, include examples of your analytical writing. We love seeing how you can break down intricate ideas into understandable pieces, so consider adding a brief project summary or a technical report you've authored.
Pay Attention to Detail:When filling out your application, double-check for any typos or errors. We value precision, especially in technical documentation, so make sure everything is spot on before hitting submit. A polished application reflects your attention to detail!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It streamlines the process for us and ensures your application lands in the right hands. Plus, it’s super easy to do!
How to prepare for a job interview at Alignerr Corp.
✨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 expertise.
✨Prepare for Technical Questions
Expect to face questions about hardware-software co-design and memory management. Practise explaining complex concepts clearly and concisely, as you'll need to demonstrate your analytical writing skills during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've approached complex engineering problems in the past. Think of examples where you identified logical fallacies or improved a model's reasoning process, as this aligns perfectly with what Alignerr is looking for.
✨Ask Insightful Questions
At the end of the interview, don’t hesitate to ask questions about the team’s current projects or the tools they use. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
