Remote STEM Researcher for AI Training (Part-Time) in London

Remote STEM Researcher for AI Training (Part-Time) in London

London Part-Time 19.8 - 24.2 £ / hour (est.) Hybrid
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At a Glance

  • Tasks: Support AI training by solving complex STEM problems and validating outputs using Python.
  • Company: Join Synthires, a forward-thinking company at the forefront of AI research.
  • Benefits: Enjoy a flexible schedule, remote work, and global collaboration opportunities.
  • Other info: Part-time role with the chance to collaborate worldwide.
  • Why this job: Make a real impact in AI while working on challenging scientific problems.
  • Qualifications: MSc/PhD in STEM, strong programming skills, and analytical tool experience.

The predicted salary is between 19.8 - 24.2 £ per hour.

Synthires is seeking a STEM Expert (MSc./Ph D) for a remote, part-time engagement to support AI training through rigorous scientific problem-solving and Python-based workflows.

You will tackle complex problems and validate AI outputs with precise reasoning.

Ideal candidates have deep domain expertise in at least one STEM field, strong programming ability, and experience using analytical tools.

Flexible schedule and worldwide collaboration are offered.

Remote STEM Researcher for AI Training (Part-Time) in London employer: Synthires

Join a forward-thinking company that values your legal expertise while offering the flexibility of remote work. With competitive compensation and a culture that fosters collaboration across disciplines, you'll have the opportunity to contribute to innovative AI projects that shape the future of legal technology. This role not only allows for meaningful engagement in corporate law but also provides avenues for professional growth in an evolving field.

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Contact Details:

Synthires Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote STEM Researcher for AI Training (Part-Time) in London

✨Get Involved in Data Challenges

Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Synthires.

✨Connect with Local Data Communities

Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.

✨Leverage Your University’s Resources

If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.

✨Apply Directly Through Our Website

Don’t forget to check out our jobs at Synthires and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.

We think you need these skills to ace Remote STEM Researcher for AI Training (Part-Time) in London

STEM Expertise
Python Programming
Scientific Problem-Solving
Analytical Tools Proficiency
Complex Problem Analysis
AI Output Validation
Precise Reasoning

Some tips for your application 🫡

Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!

Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.

Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Synthires aligns with your career aspirations. Show us you're excited about learning and growing with us!

Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!

How to prepare for a job interview at Synthires

✨Brush Up on Your Stats!

Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Synthires.

✨Show Off Your Projects!

It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Synthires.

✨Familiarise Yourself with Tools of the Trade

Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Synthires, so having a comfort level with these tools will definitely be an advantage.

✨Be Ready to Discuss Real-World Applications

Since this is a part-time role, employers at Synthires will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.