At a Glance
- Tasks: Create and refine Spanish datasets for training advanced AI models.
- Company: Join ConnexAI, a leader in language technology and AI innovation.
- Benefits: Collaborative culture, exposure to cutting-edge projects, and growth opportunities.
- Other info: Work on-site in Manchester with a dynamic, expert-led team.
- Why this job: Make a real impact on the future of voice and language technology.
- Qualifications: Fluent Spanish skills and attention to detail are essential.
The predicted salary is between 25000 - 30000 £ per year.
About Us
At ConnexAI, we’re building the future of language technology. As one of the leading global AI data teams, we work at the intersection of artificial intelligence, linguistics, and human insight. Our global clients rely on us to deliver top-tier datasets for Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and Large Language Models (LLMs). We’re a trusted data partner for model development, and our projects cover multiple languages and cultures. Our cutting-edge approaches and AI have helped hundreds of businesses worldwide enhance their customer engagement. ConnexAI is committed to innovation, creativity, and growth, which is why we attract and develop the best talent. Join us in shaping the future of customer experience.
The Role
We're looking for committed, detail-oriented, and linguistically sharp Spanish-speaking individuals to join our growing team in Data Annotation. You'll work on-site (Monday to Friday) at our Manchester office to maintain high standards of data security and confidentiality.
As an AI Data Annotator, you will:
- Create, review, and refine high-quality Spanish speech and text datasets for training and evaluating cutting-edge AI models.
- Correct and assess machine-generated outputs, helping improve the performance of ASR, TTS, LLM, and other language technologies.
- Conduct quality assurance checks and peer reviews, ensuring annotation accuracy, consistency, and compliance with project standards.
- Identify and escalate data quality issues, edge cases, and annotation ambiguities, contributing to continuous process improvement.
- Work closely with Data Scientists and within Data Operations to deliver secure, reliable, and scalable datasets for global AI initiatives.
What We're Looking For
- Fluent Spanish language skills are essential, with excellent written and spoken Spanish.
- Exceptional attention to detail - you can spot inconsistencies and anomalies in text and audio.
- Experience with audio transcription, annotation, or similar tasks is highly desirable.
- Ability to work efficiently with in-house data labelling tools and meet deadlines/KPIs.
- Comfortable with repetitive tasks and long periods of focused work.
- Strong linguistic or cultural knowledge, and passionate about AI, language, and the role data plays in model development.
- Must be able to work on-site in Manchester 5 days a week.
Why ConnexAI?
- Work on meaningful AI projects that power the next generation of voice and language technology.
- Be part of a collaborative, expert-led team with a strong culture of learning and growth.
- Enjoy the buzz of working in an innovative, truly global AI company.
- Gain exposure to cutting-edge AI development across our products.
Data Annotator (Spanish) in Manchester employer: ConnexAI
At ConnexAI, we pride ourselves on being a leading employer in the AI data sector, offering our Data Annotators a vibrant work culture in Manchester that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and exposure to cutting-edge projects, making every day meaningful as you contribute to the future of language technology. Join us to be part of a dynamic team where your skills are valued and your contributions directly impact global AI initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Data Annotator (Spanish) in Manchester
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We think you need these skills to ace Data Annotator (Spanish) in Manchester
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 ConnexAI, 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 ConnexAI. 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 ConnexAI
✨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
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✨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.
