Data Annotator

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.

• 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).