Computer Vision Annotator - Contractor
At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need—and ultimately get back to lives lived in full.
Since 2020, Sword has expanded across physical therapy, women’s health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare.
RoleComputer vision models learn from labeled data – they are only as good as the annotations behind them. Your job is to label images and videos of people performing physical exercises, across a range of annotation tasks, using Sword's internal tooling.
This is focused, detail-oriented work that spans multiple annotation types and evolves as our pipelines grow. You are expected to pick up new task types quickly and maintain high consistency across large volumes.
The Data & Tooling team (part of the Algorithms org) builds the labeled datasets that train Sword's proprietary computer vision models. We develop the data foundation that enables our AI to see, understand, and interpret human movement.
AI Proficiency at Sword Health
AI fluency is a core expectation at Sword Health. Every candidate is assessed against our three-level framework — be ready to share real examples of how AI is already part of how you work.
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Explorer (Level 1) — Uses AI daily to boost personal productivity
-
Builder (Level 2) — Creates workflows and tools that elevate the whole team
-
Integrator (Level 3) — Embeds AI into products and processes at scale
Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role.
At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need—and ultimately get back to lives lived in full.
Since 2020, Sword has expanded across physical therapy, women’s health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare.
RoleComputer vision models learn from labeled data – they are only as good as the annotations behind them. Your job is to label images and videos of people performing physical exercises, across a range of annotation tasks, using Sword's internal tooling.
This is focused, detail-oriented work that spans multiple annotation types and evolves as our pipelines grow. You are expected to pick up new task types quickly and maintain high consistency across large volumes.
The Data & Tooling team (part of the Algorithms org) builds the labeled datasets that train Sword's proprietary computer vision models. We develop the data foundation that enables our AI to see, understand, and interpret human movement.
AI Proficiency at Sword Health
AI fluency is a core expectation at Sword Health. Every candidate is assessed against our three-level framework — be ready to share real examples of how AI is already part of how you work.
-
Explorer (Level 1) — Uses AI daily to boost personal productivity
-
Builder (Level 2) — Creates workflows and tools that elevate the whole team
-
Integrator (Level 3) — Embeds AI into products and processes at scale
Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role.
At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need—and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women’s health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. Role Computer vision models learn from labeled data – they are only as good as the annotations behind them. Your job is to label images and videos of people performing physical exercises, across a range of annotation tasks, using Sword's internal tooling. This is focused, detail-oriented work that spans multiple annotation types and evolves as our pipelines grow. You are expected to pick up new task types quickly and maintain high consistency across large volumes. The Data & Tooling team (part of the Algorithms org) builds the labeled datasets that train Sword's proprietary computer vision models. We develop the data foundation that enables our AI to see, understand, and interpret human movement. AIProficiency at Sword Health AI fluency is a core expectation at Sword Health. Every candidate is assessed against our three-level framework — be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) — Uses AI daily to boost personal productivity Builder (Level 2) — Creates workflows and tools that elevate the whole team Integrator (Level 3) — Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role.Full-time contract at €7.5/hour. Fixed hours, stable workload.
What you’ll be doingAnnotating images and videos of people performing physical exercises across a variety of labeling tasks
Reviewing and quality-checking work produced by other annotators
Applying structured guidelines consistently across high volumes
Flagging quality issues, edge cases, and ambiguous content
Adapting to new annotation task types as team needs evolve
Working full-time (40 hours/week), remotely, using Sword's internal and web-based annotation tools
High attention to detail – precision and consistency are the job
Comfortable with high-volume, repetitive digital work for sustained periods
Quick to understand and apply structured guidelines
Experience with data annotation, QA, or content review is a plus
Basic familiarity with human anatomy is helpful but not required (full training provided)
Reliable internet connection and a desktop or laptop computer
No clinical or technical background required