At a Glance
- Tasks: Evaluate AI responses and provide structured feedback to enhance AI research.
- Company: Join a leading AI research team making waves in technology.
- Benefits: Flexible work environment, competitive pay, and opportunities for growth.
- Other info: Ideal for detail-oriented thinkers looking to make an impact.
- Why this job: Be part of groundbreaking AI projects and sharpen your analytical skills.
- Qualifications: Bachelor's degree preferred; strong analytical and writing skills required.
The predicted salary is between 30000 - 40000 £ per year.
In this role, you will evaluate AI-generated responses and provide structured written feedback. This is a great opportunity for sharp, analytical thinkers to contribute to high-impact AI research projects.
Basic Qualifications
- Bachelor's degree from a top-100 globally ranked university preferred
- Strong analytical and written communication skills
- Ability to work independently and follow detailed task guidelines
Required Skills
- Strong critical reading skills with the ability to identify nuance, implicit meaning, and gaps in reasoning
- Ability to write clear, precise, and well-evidenced written rationales that go beyond surface-level observations
- Consistent and honest judgment, including the ability to give critical assessments when warranted
- Strict attention to detail and accurate application of structured evaluation guidelines
- Ability to work entirely without AI writing tools
Eligibility
- Native English fluency required
- Candidates based in the United States, United Kingdom, Canada, Australia, or New Zealand are preferred
Analytical Evaluator - AI Feedback in London employer: Obsidian
Join a forward-thinking company that values analytical prowess and offers a collaborative work culture, where your insights will directly influence cutting-edge AI research. With opportunities for professional growth and a commitment to employee development, this role is perfect for those seeking meaningful contributions in a supportive environment. Located in regions with a strong emphasis on innovation, you will enjoy the unique advantage of being part of a dynamic team dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Analytical Evaluator - AI Feedback in London
✨Get Involved in Data Science Meetups
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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 Obsidian.
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We think you need these skills to ace Analytical Evaluator - AI Feedback in London
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 Obsidian, 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 Obsidian. 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 Obsidian
✨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 Obsidian!
✨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.
