Data Annotator

Neko Health
Stockholm, Sweden
On-siteCareer-pivot friendly

Who this role is best for

Strong fit for candidates with experience in data annotation or analysis who enjoy structured tasks and can work efficiently with large data volumes.

Best fit for

  • Candidates with experience in data annotation or analysis and a preference for structured, detail-oriented work
    — “Experience to data analysis, data science, medical imaging or data annotation.”
  • Individuals who can work with health-related data and contribute to high-quality datasets for AI/ML projects
    — “reviewing and accurately annotating health-related data according to defined guidelines.”
  • People who are comfortable with repetitive tasks and can maintain consistent output with attention to detail
    — “High attention to detail and consistency; you enjoy structured tasks.”

Things to consider

  • Must be eligible to work in Sweden, which may limit international applicants
    — “Eligible to work in Sweden.”
  • The role requires working with sensitive health data, necessitating a privacy-first mindset
    — “Professional with sensitive data, with a privacy-first mindset.”

How to stand out

  • Highlight experience with annotation tools and QA processes in your resume and interview responses
    — “Experience with annotation tools, QA/review work, data analysis, or repetitive production workflows.”
  • Emphasize your ability to flag unclear cases and provide actionable feedback to improve labeling instructions
    — “Help improve our labelling instructions by reporting edge cases and tool friction.”
  • Showcase your reliability and ability to meet daily throughput targets without compromising quality
    — “Reliable, able to hit daily throughput targets without sacrificing quality.”
Pace · SteadyCollaboration · LowAutonomy · MediumDecision Impact · Individual

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • accurate data annotation
  • consistent labeling
  • improving labelling instructions
Typical background
data analysisdata sciencemedical imaging

Skills & requirements

Required

Data AnnotationData AnalysisAttention To DetailQuality Control

Preferred

Medical ImagingHealthcare Technology

About the role

Original posting from Neko Health via Ashby

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).

Source: Neko Health careers (Ashby)

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