At a Glance
- Tasks: Develop and solve advanced problems in AI research with real-world relevance.
- Company: Join Alignerr, a leader in AI model training and research collaboration.
- Benefits: Earn $75–$90/hour, work remotely, and gain valuable research experience.
- Other info: Flexible hours (10–40/week) and daily application reviews for quick onboarding.
- Why this job: Make a significant impact in AI while collaborating with top researchers globally.
- Qualifications: Masters or PhD in a STEM field with strong research and communication skills.
The predicted salary is between 56 - 68 £ 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.
Location: Remote
Commitment: 10–40 hours/week
Role Responsibilities
- Develop, solve, and review advanced problems across various academic and professional domains with real-world relevance.
- Apply high-level research expertise to design complex problem statements that challenge and improve AI reasoning.
- Collaborate asynchronously with AI researchers and domain experts to enhance AI model performance.
- Ensure academic rigor, clarity, and depth across all deliverables.
Requirements
- Master’s or PhD in a STEM or highly technical field from a top U.S. university (or equivalent).
- Strong track record of research, publications, or complex project management.
- Exceptional written and verbal communication skills with strong attention to detail.
- Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia.
Preferred
- Prior experience with data annotation, data quality, or evaluation systems.
- Experience coding in Python, R, or other research-oriented languages.
Application Process
- Submit your resume
- Complete a short screening
- Project matching and onboarding
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Masters or PhD Researcher in Glasgow employer: Labelbox
Join a dynamic AI consultancy that values creativity and collaboration, offering a vibrant work culture where your voice can truly make an impact. With competitive compensation and opportunities for professional growth, this role not only allows you to showcase your talent but also to be part of innovative projects in a supportive environment. Located in England, you'll enjoy the benefits of working in a thriving industry while being surrounded by like-minded professionals who are passionate about their craft.
StudySmarter Expert Advice🤫
We think this is how you could land Masters or PhD Researcher in Glasgow
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We think you need these skills to ace Masters or PhD Researcher in Glasgow
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!
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Craft a Tailored Cover Letter:For a full-time role at Labelbox, 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 Labelbox. 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 Labelbox
✨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!
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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 Labelbox!
✨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.
