Data Annotator
Join Neko Health as a Data Annotator to support AI and Machine Learning teams in creating high-quality health-related datasets.
Posted by employer 2 weeks ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In the role of Data Annotator at Neko Health, the individual will focus on reviewing and annotating health-related data to support AI and machine learning initiatives. Key skills include attention to detail, familiarity with data analysis, and experience with annotation tools, all of which are essential for maintaining high-quality datasets. This position is well-suited for those with a background in data science or a related field, particularly individuals who thrive in structured environments and can manage large volumes of data efficiently. Neko Health emphasizes a mission-driven approach, aiming to transform preventive healthcare through innovative technology.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Neko Health's career page.
- Neko Health has 115 other open roles including Employment and Commercial Counsel Lead, US, Senior Mechanical Design Engineer, People Enablement Lead, Payroll and HR Systems-US.
- 5141 active AI/ML roles on Joblaze right now.
- 798 active Machine Learning roles on Joblaze right now.
- 214 active Data Analysis roles on Joblaze right now.
- Typical AI/ML salary we track runs $140,000–$231,000 (median $180,000, across 2235 roles). See AI/ML salary trends
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Data Analysis, Machine Learning, data annotation.
- What seniority level is this role?
- Neko Health targets junior candidates for this position.
- Is this full-time or contract?
- Full-time for this Data Annotator role at Neko Health.
From the original posting
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).