Remote Data Annotation & Tooling Engineer for AI Vision

Your Tech Future; Park Central; On-site; GBP 42,000 - 62,000; Full time

Job summary

Your Tech Future is seeking a Data Annotation & Tooling Engineer to help build high-quality datasets for cutting-edge computer vision and AI systems. You will develop and improve annotation workflows, maintain tooling, and ensure dataset quality in close collaboration with ML engineers.

This role emphasizes scalable data preparation, Python automation, clear documentation, and tight integration with model training to support accurate perception in vision tasks.

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

Python scripting

Annotation tools

Computer vision datasets

Attention to detail

Organisational skills

Tools

Git

Job description

Your Tech Future is seeking a Data Annotation & Tooling Engineer to help build high-quality datasets for cutting-edge computer vision and AI systems. You will develop and improve annotation workflows, maintain tooling, and ensure dataset quality in close collaboration with ML engineers.

This role emphasizes scalable data preparation, Python automation, clear documentation, and tight integration with model training to support accurate perception in vision tasks.