Generalist in Manchester

Generalist in Manchester

Manchester Full-Time 90 - 90 £ / hour (est.) Working from home possible
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At a Glance

  • Tasks: Review and annotate data, evaluate AI content, and provide feedback.
  • Company: Join a forward-thinking company focused on AI innovation.
  • Benefits: Earn $50–$90/hour with flexible remote work options.
  • Other info: No prior AI experience needed; great for students and recent grads.
  • Why this job: Be part of an exciting AI project and enhance your skills.
  • Qualifications: Strong English skills and attention to detail required.

The predicted salary is between 90 - 90 £ per hour.

We are looking for Generalists to support an AI-focused project involving data review, evaluation, and quality improvement. You will use your critical thinking and attention to detail to review and annotate data, evaluate AI-generated content, and provide clear feedback. No previous AI experience is required.

Responsibilities

  • Review and annotate different types of data
  • Evaluate AI-generated content for accuracy, relevance, and quality
  • Provide clear written feedback based on project guidelines
  • Complete problem-solving and evaluation tasks across different topics
  • Follow quality standards and project instructions
  • Communicate findings clearly
  • Complete assigned work accurately and on time

Requirements

  • Excellent written and spoken English
  • Strong analytical and critical-thinking skills
  • Excellent attention to detail
  • Ability to work independently and remotely
  • Previous data labeling or annotation experience is a plus, but not required
  • Reliable internet connection
  • Ability to consistently meet deadlines and quality standards

Compensation

£50–£90 per hour, depending on experience and project requirements.

Apply through the company's official application page.

Generalist in Manchester employer: Cross Border Talents

Cross Border Talents is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. As a Forward-Deployed Engineer, you will have the opportunity to work closely with senior leadership and the CTO, driving impactful customer outcomes while benefiting from a culture that prioritises employee growth and development. Join us in a seed-stage, high-growth startup that values your contributions and fosters a supportive atmosphere for professional advancement.

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Contact Details:

Cross Border Talents Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Generalist in Manchester

Get Involved in Data Science Meetups

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Show Off Your Projects

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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 Cross Border Talents.

Apply Directly through Our Website

When you find a suitable opening like Generalist at Cross Border Talents, 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 Generalist in Manchester

Critical Thinking
Attention to Detail
Data Review
Data Annotation
Evaluation of AI-generated Content
Written Communication Skills
Analytical Skills

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 Cross Border Talents, 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 Cross Border Talents. 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 Cross Border Talents

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 Cross Border Talents!

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.