Remote Data Annotation & Tooling Engineer for CV/AI

Your Tech Future; Warmley; On-site; GBP 42,000 - 64,000; Full time

Job summary

Your Tech Future is seeking a Data Annotation & Tooling Engineer to build high-quality datasets for computer vision and AI systems. This remote UK role focuses on developing annotation workflows, maintaining tooling, and ensuring dataset quality in collaboration with ML engineers.

You’ll prepare, curate and annotate large image and video datasets, configure platforms, create guidelines, automate repetitive tasks with Python, and contribute to dataset versioning and QA to improve model accuracy.

Qualifications

• This role requires meticulous data handling and strong quality mindset.
• Get able to create clear documentation and annotation guidelines.
• Experience handling large computer vision datasets and labeling.
• Familiarity with annotation workflows and tooling.
• Ability to automate repetitive labeling tasks with scripting.

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 with Python.

Skills

Attention to detail

Organisational skills

Documentation

Tools

Python

Annotation tools

Git

Job description

Your Tech Future is seeking a Data Annotation & Tooling Engineer to build high-quality datasets for computer vision and AI systems. This remote UK role focuses on developing annotation workflows, maintaining tooling, and ensuring dataset quality in collaboration with ML engineers.

You’ll prepare, curate and annotate large image and video datasets, configure platforms, create guidelines, automate repetitive tasks with Python, and contribute to dataset versioning and QA to improve model accuracy.