Data Annotator in Bolton

Data Annotator in Bolton

Bolton Full-Time 25000 - 35000 £ / year (est.) No working from home possible
ConnexAI

At a Glance

  • Tasks: Create and refine high-quality 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, Monday to Friday, in a dynamic team environment.
  • Why this job: Make a real impact on the future of voice and language technology.
  • Qualifications: Detail-oriented with a passion for AI and language; transcription experience is a plus.

The predicted salary is between 25000 - 35000 £ 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 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 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

  • 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 in Bolton employer: ConnexAI

At ConnexAI, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. Our Manchester office is a hub for talented individuals who are passionate about AI and language technology, providing ample opportunities for professional growth and development. Join us to work on meaningful projects that not only enhance your skills but also contribute to the future of customer experience in a supportive and dynamic environment.

ConnexAI

Contact Details:

ConnexAI Recruitment Team

We think you need these skills to ace Data Annotator in Bolton

Attention to Detail
Audio Transcription
Data Annotation
Quality Assurance
Linguistic Knowledge
Cultural Knowledge
Data Labelling Tools