Remote AI Data Annotation & Tooling Engineer

Your Tech Future; Birmingham; On-site; GBP 42,000 - 65,000; 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. This role goes beyond simple annotation, focusing on developing workflows, tooling, and data quality throughout the ML lifecycle.

You will prepare, curate and annotate large-scale image and video datasets, configure platforms, document guidelines, and collaborate with ML engineers to ensure robust training data for model development and evaluation.

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

CV datasets

Annotation tools

Python scripting

Large datasets

Image classification

Object detection

Segmentation

Documentation

Organisational skills

Tools

Git

Annotation platforms

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. This role goes beyond simple annotation, focusing on developing workflows, tooling, and data quality throughout the ML lifecycle.

You will prepare, curate and annotate large-scale image and video datasets, configure platforms, document guidelines, and collaborate with ML engineers to ensure robust training data for model development and evaluation.