Remote Data Annotation & Tooling Engineer for AI Vision

Your Tech Future

Wolverhampton

On-site

GBP 42,000 - 64,000

Full time

12 days ago
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Job summary

Your Tech Future is hiring a Data Annotation & Tooling Engineer to build high-quality datasets for computer vision and AI systems. You will develop and improve annotation workflows, maintain tooling, and ensure dataset quality while collaborating with ML engineers to create reliable training data for advanced models.

You’ll influence data quality throughout the ML lifecycle, aiming to improve model accuracy through robust, well-structured datasets and clear guidelines that scale across teams.

Qualifications

  • Experience working with computer vision datasets and annotation workflows.

Responsibilities

  • Prepare, curate and annotate large-scale image and video datasets.
  • Develop and improve annotation workflows and tooling.
  • Configure and maintain annotation platforms.
  • Create annotation guidelines and documentation.
  • Validate dataset quality and consistency.
  • Perform quality assurance on annotated datasets.
  • Work closely with Machine Learning Engineers to understand model requirements.
  • Identify labelling inconsistencies and improve annotation standards.
  • Assist with dataset versioning and management.
  • Automate repetitive annotation and validation tasks where possible using Python.

Skills

CV datasets
Annotation tools
Python
Large datasets
Image classification
Object detection
Segmentation
Documentation
Organisational skills
Attention to detail

Tools

Git
PyTorch

Job description

Your Tech Future is hiring a Data Annotation & Tooling Engineer to build high-quality datasets for computer vision and AI systems. You will develop and improve annotation workflows, maintain tooling, and ensure dataset quality while collaborating with ML engineers to create reliable training data for advanced models.

You’ll influence data quality throughout the ML lifecycle, aiming to improve model accuracy through robust, well-structured datasets and clear guidelines that scale across teams.

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