Remote Data Annotation & Tooling Engineer for Vision AI

Your Tech Future; Bradley Stoke; On-site; GBP 45,000 - 75,000; Full time

Job summary

Your Tech Future in the United Kingdom is seeking a Data Annotation & Tooling Engineer to help build high-quality datasets powering computer vision and AI systems. You will develop and improve annotation workflows, maintain tooling, ensure dataset quality, and collaborate with ML engineers to create reliable training data for advanced models.

You will ensure data quality throughout the ML lifecycle, contributing to model accuracy by creating robust, well-structured datasets and clear

Qualifications

• Experience handling computer vision datasets and annotations.
• Ability to develop clear annotation guidelines and docs.
• Strong Python scripting for tooling automation.
• Familiarity with CV tasks including classification/detection/segmentation.
• Experience working with large-scale image/video datasets.

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 QA on annotated datasets.
• Work with ML engineers to align dataset with model needs.
• Identify labeling inconsistencies and improve standards.
• Assist with dataset versioning and management.
• Automate repetitive annotation and validation tasks with Python.

Skills

CV datasets experience

Annotation tools

Attention to detail

Python scripting

Large datasets

Image classification

Object detection

Segmentation

Documentation

Organisation

Tools

Annotation tools

Git

PyTorch

Job description

Your Tech Future in the United Kingdom is seeking a Data Annotation & Tooling Engineer to help build high-quality datasets powering computer vision and AI systems. You will develop and improve annotation workflows, maintain tooling, ensure dataset quality, and collaborate with ML engineers to create reliable training data for advanced models.

You will ensure data quality throughout the ML lifecycle, contributing to model accuracy by creating robust, well-structured datasets and clear