Data Annotator

MISSION

Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it's ever at risk. Our mission: make data-driven, preventative care accessible to more people, before symptoms appear.

In a single, non-invasive visit under an hour, proprietary technology and direct clinical care combine to deliver personalised, actionable insights. It's a team that thinks in 10x, not 10%. Every role here plays a part in building a world where prevention is the norm, and where your work genuinely helps people live longer, healthier lives.

ROLE PURPOSE

- At Neko Health, our mission is to deliver proactive healthcare for all, empowering members to take control of their health through cutting-edge technology and compassionate care. As a Data Annotator, you will support our AI and Machine Learning teams by reviewing and accurately annotating health-related data according to defined guidelines. Your work will help create high-quality datasets that enable the development and improvement of our preventive healthcare technology. This role requires a high level of integrity, strong attention to detail, consistency, and the ability to work efficiently with large volumes of data. WHAT YOU'LL DELIVER IN THE FIRST 6–12 MONTHS - Label and quality-check images/audio using our annotation tools. - Follow clear guidelines and examples to label consistently and accurately. - Flag unclear cases or data issues, and escalate to the team when needed. - Help improve our labelling instructions by reporting edge cases and tool friction. REQUIREMENTS - Comfortable working on a computer all day and a fast learner with new software. - Experience to data analysis, data science, medical imaging or data annotation. - High attention to detail and consistency; you enjoy structured tasks. - Reliable, able to hit daily throughput targets without sacrificing quality. - Professional with sensitive data, with a privacy-first mindset. - Eligible to work in Sweden. PREFERRED - Experience with annotation tools, QA/review work, data analysis, or repetitive production workflows. - Interest in health/tech, data science, machine learning, or AI (no medical background required).