AI Researcher (Operations)

AI Researcher (Operations)

Full-Time 100 - 100 £ / hour (est.) No working from home possible
B

At a Glance

  • Tasks: Design real-world problems to test cutting-edge AI models and collaborate with engineering teams.
  • Company: Aptura, a pioneering applied AI and data company.
  • Benefits: Competitive pay, flexible remote work options, and support for learning AI concepts.
  • Other info: Exciting opportunity for growth in a dynamic, innovative environment.
  • Why this job: Join a forward-thinking team and shape the future of AI in business operations.
  • Qualifications: 3+ years in business operations with strong PowerPoint skills and a keen eye for detail.

The predicted salary is between 100 - 100 £ per hour.

Aptura is an applied AI and data company working with frontier labs to train AI systems on real professional work. We do this by building high-quality evaluation and training environments that teach AI agents to produce work that can be used in daily workflows.

We are looking for Subject Matter Experts with experience in operations roles who have spent real time building business reviews, process rollout packs, and operational performance decks.

Responsibilities include:

  • Designing "problems" to test state-of-the-art AI models on your workflows (e.g. designing tasks that start mid-workflow - this can be a monthly business review that's work in progress, a process rollout pack that needs revised targets or an operational training deck moving into a new template)
  • Working with frontier engineering/research teams to implement and evaluate AI systems on the designed real-world operations work.

Necessary Skills include:

  • 3+ years in a business operations, program management, or process improvement role with deep hands-on PowerPoint work
  • Ability to define what "good" looks like precisely enough for someone else to grade against it
  • Attention to detail, and willingness to learn concepts in AI and data

Location: Remote or In-office (Liverpool Street, London)

Compensation: On Task Idea Selection: $400 and then $100/hr for evaluation/rubric design (no previous experience required, team will help with this)

AI Researcher (Operations) employer: BlackCube Labs

Santander UK is an excellent employer, offering a dynamic work environment in Milton Keynes where innovation thrives. With a strong focus on employee growth and development, you will have access to competitive benefits and a hybrid working model that promotes work-life balance, making it an ideal place for professionals looking to make a meaningful impact in the field of AI and data strategy.

B

Contact Details:

BlackCube Labs Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Researcher (Operations)

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 BlackCube Labs!

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 AI Researcher (Operations) at BlackCube Labs.

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 BlackCube Labs.

Apply Directly through Our Website

When you find a suitable opening like AI Researcher (Operations) at BlackCube Labs, 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 AI Researcher (Operations)

Business Operations
Program Management
Process Improvement
PowerPoint Proficiency
Attention to Detail
AI Concepts Understanding
Evaluation Design

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 BlackCube Labs, 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 BlackCube Labs. 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 BlackCube Labs

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 BlackCube Labs!

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.