Remote Data Annotation & Tooling Engineer for AI Datasets

Your Tech Future; England; On-site; GBP 35,000 - 55,000; Full time

Job summary

Your Tech Future is seeking a Data Annotation & Tooling Engineer to help build high-quality datasets for computer vision and AI systems. You will develop annotation workflows, maintain tooling, and ensure dataset quality while collaborating with ML engineers to create reliable training data.

This remote UK role emphasizes building robust datasets, documenting guidelines, and automating repetitive annotation tasks with Python to support model training 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 using Python.

Skills

Computer vision datasets

Annotation tooling

Python scripting

CV tasks knowledge

Documentation

Attention to detail

Organizational skills

Large datasets

Tools

PyTorch

Git

MLOps

Job description

Your Tech Future is seeking a Data Annotation & Tooling Engineer to help build high-quality datasets for computer vision and AI systems. You will develop annotation workflows, maintain tooling, and ensure dataset quality while collaborating with ML engineers to create reliable training data.

This remote UK role emphasizes building robust datasets, documenting guidelines, and automating repetitive annotation tasks with Python to support model training and evaluation.