Remote Data Annotation & Tooling Engineer for CV/AI

Your Tech Future

Sheffield

On-site

GBP 40,000 - 70,000

Full time

12 days ago
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Job summary

Your Tech Future is seeking a Data Annotation & Tooling Engineer to build high-quality CV datasets and improve annotation workflows. This remote UK role partners with ML engineers to create robust training data and maintain tooling across the data lifecycle.

You will focus on dataset preparation, guidelines, QA, and automation using Python, helping to ensure accurate model training for advanced computer vision systems.

Qualifications

  • Experience working with computer vision datasets.
  • Experience using annotation tools.
  • Strong attention to detail.
  • Python scripting experience.
  • Comfortable handling large datasets.
  • Understanding of image classification, object detection and segmentation tasks.
  • Experience creating clear documentation and annotation guidelines.
  • Excellent organisational skills.

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

Image datasets
Annotation
Python
Documentation
Large datasets
CV concepts
Organizational skills

Tools

Annotation tools
PyTorch
Git

Job description

Your Tech Future is seeking a Data Annotation & Tooling Engineer to build high-quality CV datasets and improve annotation workflows. This remote UK role partners with ML engineers to create robust training data and maintain tooling across the data lifecycle.

You will focus on dataset preparation, guidelines, QA, and automation using Python, helping to ensure accurate model training for advanced computer vision systems.

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