Remote Data Annotation & Tooling Engineer for Vision AI

Your Tech Future; Plymouth; On-site; GBP 38,000 - 62,000; 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. This role involves developing annotation workflows, maintaining tooling, and ensuring dataset quality in collaboration with ML engineers.

Remote (UK) work, with emphasis on scalable data pipelines, documentation, and automation of repetitive tasks using Python. You will influence how models are trained and evaluated through robust data practices.

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

Experience with CV datasets

Annotation tools experience

Attention to detail

Python scripting

Handling large datasets

Image classification knowledge

Object detection knowledge

Annotation guidelines/documentation

Tools

Python

PyTorch

Git

Annotation tools

Job description

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

Remote (UK) work, with emphasis on scalable data pipelines, documentation, and automation of repetitive tasks using Python. You will influence how models are trained and evaluated through robust data practices.