At a Glance
- Tasks: Join a global network to annotate, evaluate, and create prompts for AI projects.
- Company: Welo Data, part of Welocalize, a leader in ethical AI data.
- Benefits: Flexible remote work, competitive compensation, and growth opportunities.
- Other info: Be part of a supportive global community shaping the future of AI.
- Why this job: Contribute to smarter, more inclusive AI while working on your terms.
- Qualifications: Fluency in Welsh, detail-oriented, and comfortable with digital tools.
The predicted salary is between 13500 - 16500 £ per year.
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries. At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Are you detail-oriented and curious about tech? Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI. By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.
Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.
What You’ll Need
- Native or near-native fluency in Welsh
- Based in: United Kingdom, Remote
- English proficiency
- Comfortable with digital tools
- Detail-oriented and curious
Why Join Us?
- Limitless You – Work when and where you want, with room to grow
- Limitless AI – Contribute to smarter, more inclusive AI
- Be Part of Us – Join a global, supportive community
About our projects:
Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI. Depending on your skills, you might:
- Annotate or label text, images, or audio to train AI systems
- Evaluate search results, ads, or chatbot responses for quality and relevance
- Create and test prompts to improve large language models (LLMs)
- Ensure content reflects cultural, linguistic, or industry-specific accuracy
Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.
How to Apply?
Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.
Questions? If you have any questions about the process, feel free to contact us at [email protected]. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
AI Trainers Network - Welsh employer: Welo Global
Park IP is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for professionals seeking to excel in the field of intellectual property. With a strong commitment to employee growth, Park IP offers extensive training opportunities and encourages team members to contribute to process improvements, ensuring that every voice is heard. Located in a dynamic environment, employees benefit from working with cutting-edge AI technology while being part of a global team dedicated to delivering high-quality legal solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Trainers Network - Welsh
✨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 Welo Global!
✨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 Trainers Network - Welsh at Welo Global.
✨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 Welo Global.
✨Apply Directly through Our Website
When you find a suitable opening like AI Trainers Network - Welsh at Welo Global, 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 Trainers Network - Welsh
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 Welo Global, 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 Welo Global. 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 Welo Global
✨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 Welo Global!
✨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.
