Remote UK Data Annotation & Tooling Engineer

Remote UK Data Annotation & Tooling Engineer

Full-Time 63000 - 77000 £ / year (est.) Working from home possible
Your Tech Future

At a Glance

  • Tasks: Curate and annotate datasets while automating tasks using Python for AI models.
  • Company: Your Tech Future, a forward-thinking company in the AI space.
  • Benefits: Flexible remote work, competitive pay, and opportunities for skill development.
  • Other info: Collaborative environment with a focus on innovation and growth.
  • Why this job: Join a team shaping the future of autonomous systems with your coding skills.
  • Qualifications: Experience in data annotation and proficiency in Python required.

The predicted salary is between 63000 - 77000 £ per year.

Your Tech Future is hiring a Data Annotation & Tooling Engineer to build high-quality computer vision datasets and tooling.

This remote UK role combines workflow development, dataset quality assurance, and close collaboration with ML engineers to power next-generation autonomous systems.

You will curate, annotate, and improve annotation workflows, document guidelines, and automate repetitive labeling tasks using Python, contributing to reliable training data for state-of-the-art AI models.

#J-18808-Ljbffr

Remote UK Data Annotation & Tooling Engineer employer: Your Tech Future

As a Senior Software Developer at our company, you'll be part of a dynamic and innovative team that values collaboration and creativity. We offer a hybrid work environment in Devon, providing flexibility and a strong work-life balance, alongside opportunities for professional growth and development in cutting-edge technologies. Join us to contribute to impactful projects while enjoying a supportive culture that prioritises employee well-being and career advancement.

Your Tech Future

Contact Details:

Your Tech Future Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote UK Data Annotation & Tooling Engineer

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 Your Tech Future!

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 Remote UK Data Annotation & Tooling Engineer at Your Tech Future.

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 Your Tech Future.

Apply Directly through Our Website

When you find a suitable opening like Remote UK Data Annotation & Tooling Engineer at Your Tech Future, 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 Remote UK Data Annotation & Tooling Engineer

Problem-Solving Skills
SQL
Python
Communication Skills
Data Engineering
Data Pipeline Development
API Integration

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 Your Tech Future, 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 Your Tech Future. 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 Your Tech Future

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 Your Tech Future!

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.