Remote Data Annotation & Tooling Engineer for AI Datasets

Your Tech Future; Greater London; On-site; GBP 45,000 - 65,000; Full time

Job summary

Your Tech Future is seeking a Data Annotation & Tooling Engineer to build scalable annotation workflows and tooling for high-quality computer vision datasets. You will shape data pipelines, maintain annotation platforms, and collaborate with ML engineers to ensure robust training data for vision models.

Remote UK-based role offering the chance to influence data quality across the ML lifecycle, with responsibilities spanning labeling, guidelines creation, dataset versioning, and automation of

Qualifications

• Experience working with computer vision datasets.
• Experience using annotation tools.
• Python scripting experience.
• Comfortable handling large datasets.
• Understanding of image classification, object detection and segmentation tasks.
• Experience creating clear documentation and annotation guidelines.

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

Computer vision datasets

Annotation tooling

Python scripting

Large datasets

Image classification

Object detection

Segmentation

Documentation

Tools

Git

Job description

Your Tech Future is seeking a Data Annotation & Tooling Engineer to build scalable annotation workflows and tooling for high-quality computer vision datasets. You will shape data pipelines, maintain annotation platforms, and collaborate with ML engineers to ensure robust training data for vision models.

Remote UK-based role offering the chance to influence data quality across the ML lifecycle, with responsibilities spanning labeling, guidelines creation, dataset versioning, and automation of