AI Data Annotator: Speech & Language Datasets (Manchester)

Connexai

Manchester

On-site

GBP 18,000 - 24,000

Full time

9 days ago

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Job summary

ConnexAI is seeking an AI Data Annotator to create and refine speech and text datasets for training state-of-the-art AI models. You will review machine outputs and ensure high-quality annotations, working closely with data scientists to maintain data quality and project standards.

The role requires on-site presence in Manchester, with a focus on accuracy, consistency, and efficiency in a fast-paced data lab environment.

Qualifications

  • Exceptional attention to detail and ability to spot inconsistencies in text and audio.
  • Experience with audio transcription, annotation, or similar tasks.
  • Proficient with in-house data labelling tools and meeting deadlines.
  • Comfortable with repetitive tasks and long periods of focused work.
  • Strong linguistic or cultural knowledge and interest in AI and language.
  • On-site in Manchester 5 days a week.

Responsibilities

  • Create, review, and refine high-quality speech and text datasets for training and evaluating AI models.
  • Correct and assess machine-generated outputs to improve ASR, TTS, LLM performance.
  • Conduct quality assurance checks and peer reviews for accuracy and consistency.
  • Identify data quality issues and edge cases; escalate as needed for process improvement.
  • Collaborate with Data Scientists and Data Operations to deliver secure datasets.

Skills

Attention to detail
Audio transcription experience
Annotation tools
Repetitive workload endurance
Linguistic knowledge

Tools

In-house labelling tools

Job description

ConnexAI is seeking an AI Data Annotator to create and refine speech and text datasets for training state-of-the-art AI models. You will review machine outputs and ensure high-quality annotations, working closely with data scientists to maintain data quality and project standards.

The role requires on-site presence in Manchester, with a focus on accuracy, consistency, and efficiency in a fast-paced data lab environment.

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