Remote Vision Data Annotation & Tooling Engineer

Your Tech Future

Coalville

On-site

GBP 40,000 - 65,000

Full time

12 days ago
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Benefits offered by this job

Remote work

Job summary

Your Tech Future is seeking a Data Annotation & Tooling Engineer to help build high-quality datasets for computer vision and AI systems. This remote UK role focuses on developing and improving annotation workflows, maintaining tooling, and ensuring dataset quality to support training and evaluation of advanced models.

You will work closely with machine learning engineers to create robust datasets, automate repetitive tasks with Python, and contribute to understanding model requirements.

Qualifications

  • Must have experience working with computer vision datasets.
  • Experience using annotation tools and platforms.
  • Strong attention to detail and quality control.
  • Experience documenting guidelines and processes.

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.
  • Collaborate with ML engineers to understand model requirements.
  • Identify labeling inconsistencies and improve annotation standards.
  • Assist with dataset versioning and management.
  • Automate repetitive annotation and validation tasks using Python.

Skills

Python scripting
Attention to detail
Dataset management
Documentation writing
Problem solving

Tools

Annotation tools
Git
Python tooling

Job description

Your Tech Future is seeking a Data Annotation & Tooling Engineer to help build high-quality datasets for computer vision and AI systems. This remote UK role focuses on developing and improving annotation workflows, maintaining tooling, and ensuring dataset quality to support training and evaluation of advanced models.

You will work closely with machine learning engineers to create robust datasets, automate repetitive tasks with Python, and contribute to understanding model requirements.

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