Night-Shift Humanoid AI Data Specialist

Night-Shift Humanoid AI Data Specialist

Full-Time 25000 - 30000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Teleoperate humanoid robots and create high-quality datasets for AI training.
  • Company: Join Humanoid, a leader in AI technology and innovation.
  • Benefits: Flexible night shifts, full training provided, and a supportive team environment.
  • Other info: Exciting opportunity to grow in a fast-paced, innovative setting.
  • Why this job: Be at the forefront of AI development and work with cutting-edge technology.
  • Qualifications: No technical degree needed; just bring your attention to detail and teamwork skills.

The predicted salary is between 25000 - 30000 £ per year.

Humanoid is seeking a dedicated Data Collector to teleoperate humanoid robots and generate high-quality datasets for AI model training.

You will work on-site with UMI tools, annotate data, and ensure accuracy across multimodal captures.

No prior technical degree is required as full training is provided; candidates should be comfortable with computers, highly detail-focused, and able to manage time effectively in a fast-paced team setting.

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Night-Shift Humanoid AI Data Specialist employer: Humanoid

Humanoid is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters innovation and collaboration. With a strong commitment to employee growth, we provide ample opportunities for professional development and advancement within the rapidly evolving field of robotics and AI. Our focus on delivering cutting-edge technology ensures that you will be part of a team that is not only shaping the future of industrial applications but also making a meaningful impact in the industry.

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Contact Details:

Humanoid Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Night-Shift Humanoid AI Data Specialist

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Humanoid!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Night-Shift Humanoid AI Data Specialist at Humanoid.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Humanoid.

Apply Directly through Our Website

When you find a suitable opening like Night-Shift Humanoid AI Data Specialist at Humanoid, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Night-Shift Humanoid AI Data Specialist

Data Collection
Data Annotation
Attention to Detail
Time Management
Computer Proficiency
Team Collaboration
Fast-Paced Work Environment

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Humanoid, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Humanoid. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Humanoid

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Humanoid!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.