Remote Data Annotation & Tooling Engineer (CV AI)

Your Tech Future; Hawton; On-site; GBP 40,000 - 65,000; Full time

Job summary

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

This remote role emphasizes data quality throughout the ML lifecycle, enabling accurate model performance. Responsibilities include preparing datasets, ensuring guidelines, and automating repetitive tasks

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

CV datasets experience

Annotation tools

Attention to detail

Python scripting

Large datasets handling

Documentation skills

Organisational skills

Git

Tools

Git

Annotation platforms

Job description

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

This remote role emphasizes data quality throughout the ML lifecycle, enabling accurate model performance. Responsibilities include preparing datasets, ensuring guidelines, and automating repetitive tasks