At a Glance
- Tasks: Develop and evaluate advanced AI research problems using your STEM expertise.
- Company: Join a cutting-edge team focused on shaping the future of AI.
- Benefits: Earn $60–$90/hour, enjoy remote work, and flexible hours.
- Other info: Part-time role with potential for extension and weekly payments.
- Why this job: Make a real impact in AI while working on complex scientific challenges.
- Qualifications: PhD in STEM and strong problem-solving skills required.
Postdoctoral Research Scientist
Location: Remote
Engagement Type: Hourly Contract (Part-Time)
Compensation: $60–$90/hour
About the Opportunity
This opportunity is for STEM PhD researchers and postdoctoral scientists interested in contributing to advanced AI research and evaluation projects. The role involves applying deep subject-matter expertise to develop research-level problems, technical analyses, and high-quality reference solutions that improve the reasoning, accuracy, and scientific depth of next-generation AI systems.
You will leverage your academic and research experience to evaluate complex scientific and engineering challenges while helping shape the future of AI.
Ideal Qualifications
• PhD in a STEM discipline such as Mechanical Engineering, Chemical Engineering, Electrical Engineering, Biology, Chemistry, Physics, or a closely related field.
• Strong academic and research background with experience solving complex, research-level problems.
• Demonstrated expertise within your area of specialization.
• Strong analytical, critical-thinking, and problem-solving skills.
• Excellent written and verbal communication skills in English.
• Exceptional attention to detail and commitment to technical accuracy.
• Ability to work independently and manage research tasks in a remote environment.
Responsibilities
• Develop high-quality, domain-specific problems based on your academic and research expertise.
• Create rigorous reference solutions, technical analyses, and detailed explanations for complex scientific and engineering problems.
• Review and evaluate AI-generated responses for accuracy, reasoning, completeness, and technical quality.
• Identify errors, gaps, inconsistencies, and opportunities to improve AI-generated outputs.
• Collaborate with AI researchers and subject-matter experts to refine technical content and evaluation standards.
• Contribute high-quality research data that improves the reasoning, accuracy, and problem-solving capabilities of advanced AI models.
Project Details
• Start Date: Immediate, with rolling applications.
• Duration: 1–2 months, with potential for extension.
• Commitment: 10–20 hours per week, with flexibility to work up to 40 hours per week.
• Schedule: Fully remote and asynchronous.
Compensation
• Competitive compensation of $65–$100/hour.
• Weekly payments.
• Independent contractor engagement.
Application Process
- Easy Apply on LinkedIn.
- Check Email for Next Steps.
- Participate in Resume Evaluation & Interview Stage.
Postdoctoral Research Scientist in City of London employer: Synthires
As a remote employer, we offer a flexible work environment that empowers our Physics Research Scientists to engage in cutting-edge AI research while maintaining a healthy work-life balance. Our commitment to employee growth is reflected in our support for continuous learning and collaboration with leading experts in the field, making this an ideal opportunity for those seeking meaningful contributions to advanced scientific projects.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Scientist in City of 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 Postdoctoral Research Scientist in City of London
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.
