Vet Vision AI
Annotation & Dataset Specialist
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The Role
The models we build are only as good as the data behind them. This role owns that data. A successful candidate would create precise annotations of animal behaviours, curating clean datasets from raw footage, and keeping everything organised so our animal-health models can be trained and improved reliably. It suits someone who is careful and methodical, experienced in animal behaviour monitoring, and comfortable working with software and data.
About Vet Vision AI
We improve animal welfare through computer vision, building intelligent monitoring systems that help vets and animal owners provide better care for animals under their care. We are a University of Nottingham spin-out working with major UK partners. Our mission is to transform the lives of millions of animals worldwide using computer vision AI.
What You'll Do
- Annotate images and video to a defined protocol of nuanced changes in animal behaviour
- Mine and curate datasets from raw footage, such as extracting behavioural events from large video datasets, and building clean, well-structured training sets
- Work with model-assisted labelling: review, correct and refine predictions from our existing models to help retrain and improve them
- Organise and archive datasets in cloud-based architectures with consistent structure, versioning and metadata, so data stays findable and reproducible
- Apply and help improve our annotation guidelines, flagging ambiguous or unusual cases rather than guessing, and documenting decisions
- Support annotation quality, including consistency checks, so the ground truth our science and product depend on stays reliable
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What We're Looking For
- Careful, consistent visual judgment: you annotate animal behaviours precisely and repeatably, without drifting from the standard
- An interest in and aptitude for animal behaviour and welfare: you can learn behavioural definitions and apply them reliably. A background in animal, veterinary or biological science is one route in; a strong willingness to learn is another
- Comfortable with data and software: annotation tools, structured file and data organisation, and cloud storage concepts, with the ability to pick up new tools quickly
- Clear communication: you ask when something is unclear, and you document what you decided and why
- Organised and reliable with structured data and steady throughput
Desirable (Not Required)
- Experience with annotation tools (CVAT, Label Studio, Roboflow, Labelbox or similar)
- Cloud storage and data management
- Light Python or scripting
- Comfortable using agentic AI tools (ChatGPT, Claude etc)
- A background in animal science, veterinary medicine, zoology or ethology, or exposure to machine learning, data science or computer vision
- Familiarity with how machine-learning models are trained and evaluated
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Who This Suits
This role could fit someone from an animal or veterinary science background who is technically curious and wants to work with data, or someone with a data, computer vision or machine learning background who wants their work to count towards animal welfare.
What We Offer
- £28,000–£34,000 salary, depending on experience
- Hybrid working: 2 days/week on-site in Milford, 3 days remote
- A role with real ownership of the data that powers our models, and clear scope
- Work with purpose, that directly improves animal welfare
- Working within a dedicated and passionate team of vets, developers, engineers, and people who care about improving animal welfare with technology
Why This Role Matters
Everything our AI can do rests on the quality of the data behind it. Well-judged annotation and well-curated datasets are the difference between a model that can reliably monitor animal health and welfare, and one that can’t. Your accuracy and care have a direct, measurable impact on the animals we help.
If you value precision, enjoy working with data, and want your effort to count for something that matters, we would love to hear from you.
Pay: £28,000.00-£34,000.00 per year
Benefits:
- Cycle to work scheme
- Free flu jabs
- On-site parking
- Work from home
Work authorisation:
United Kingdom (required)
Work Location: Hybrid remote in Milford (Derbyshire, East Midlands Region)
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