At a Glance
- Tasks: Annotate animal behaviours and curate clean datasets from raw footage.
- Company: Vet Vision AI, a University of Nottingham spin-out improving animal welfare through technology.
- Benefits: Hybrid working, competitive salary, cycle to work scheme, and free flu jabs.
- Other info: Join a passionate team dedicated to transforming animal care.
- Why this job: Make a real impact on animal welfare while working with cutting-edge AI technology.
- Qualifications: Experience in animal behaviour monitoring and comfortable with data and software.
The predicted salary is between 28000 - 34000 £ per year.
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.
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.
- 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.
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:
- 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.
- Cycle to work scheme.
- Free flu jabs.
- On-site parking.
- Work from home.
- United Kingdom (required).
Annotation & Dataset Specialist employer: Vet Vision AI
At Vet Vision AI, we pride ourselves on being an exceptional employer dedicated to improving animal welfare through innovative technology. Our hybrid working model allows for flexibility, while our passionate team fosters a collaborative and supportive work culture that values precision and ownership in your role. With opportunities for professional growth and the chance to make a meaningful impact on the lives of animals worldwide, joining us means being part of a mission-driven organisation that truly cares about its employees and the work they do.
StudySmarter Expert Advice🤫
We think this is how you could land Annotation & Dataset Specialist
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We think you need these skills to ace Annotation & Dataset Specialist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Vet Vision AI. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Vet Vision AI
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Vet Vision AI!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
