Please mention DailyRemote when applying
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.
\nAnnotating 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
Full-time contract at €7.5/hour. Fixed hours, stable workload.
Note: Please note that this position does not offer relocation assistance. Candidates must possess a valid EU visa and be based in Portugal.
Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Discover remote opportunities in Others
Answer easy questions
200,000+ jobs across 15+ categories
Get your best job matches
Only hand-screened, legit jobs
Find a remote job faster
No ads, scams, or junk
“ I was the first applicant for a remote marketing position that got listed on the company website the same day I applied. Had an interview within 48 hours!