Junior QA Engineer - Computer Vision (Portugal-based) Lisboa

Junior QA Engineer - Computer Vision (Portugal-based)
Lisboa
Lisboa, Lisboa, Portugal

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Client:

Sword Health

Location:

Lisboa, Portugal

Job Category:

Other

-$0-0/monthly

EU work permit required:

Yes

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Job Views:

3

Posted:

22. 05. 2025

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Job Description:

Sword Health is on a mission to free two billion people from pain.

With 67% of members achieving a
- free life and a 70% reduction in surgery intent, at Sword, we are using AI Care to change lives, and save millions for our 25, 000+ enterprise clients across three continents. Today, we hold the majority of industry patents, win 70% of competitive evaluations, and have raised more than $300 million from top venture firms like Founders Fund, Sapphire Ventures, General Catalyst, and Khosla Ventures.

Recognized as a Forbes Best Startup Employer in 2025, this award highlights our focus on being a destination for the best and brightest talent. Not only have we experienced unprecedented growth since our market debut in 2020, but we’ve also created a remarkable mission and
- driven environment that is loved by our growing team. With a recent valuation of $3 billion, we are in a phase of hyper growth and expansion, and we’re looking for individuals with passion, commitment, and energy to help us scale our global impact.

Joining Sword means committing to a set of core values, chief amongst them to “do it for the patients” every day, and to always “deliver more than expected” on behalf of our members and clients.

This is an opportunity for you to make a significant difference on a massive scale as you work alongside 900+ (and growing!) talented colleagues, spanning three continents. Your charge? To help us build a
- free world, powered by AI, enhanced by people — accessible to all.

Algorithms Team:

Our Algorithms team is a versatile Software Engineering team. They build
- ready software for complex problems that require technical and innovative solutions. The team combines:

- Software engineering ability;

- Technical expertise in fields such as Computer Vision, Signal Processing and Sensor Fusion, Kinematics, Control, Data Science, etc;

- Product and clinical awareness.

The largest example of their work is the motion tracking and motion analysis that enables our AI Care Specialist to guide our members during their exercise sessions:

- Providing
- time feedback;

- Collecting valuable movement metrics.

We are seeking a skilled Data Quality Assurance Engineer for our Computer Vision Team to develop, implement, and maintain quality assurance processes, conduct data acquisition and annotation, validate CV developments through scripting and experiments, collaborate with product teams to ensure feature quality, participate in all stages of software development with a focus on testing, and proactively report on status and risks.

What you need to have:

• A strong Engineering background, including working knowledge of scripting and Machine Learning;
• Solid knowledge of software testing and the software development lifecycle;
• Excellent communication skills in Portuguese and English;
• Comfort with version control and task management tools;
• Ability to analyze and interpret various data types;
• Proactive attitude, flexibility, and critical thinking skills.

What we offer:

• A stimulating environment with creativity and ownership opportunities;
• Career growth, competitive salary, and
  - driven work on
  - edge AI/ML healthcare applications;
• Flexible hours, remote work, unlimited vacation;
• Health and
  - being programs, including digital therapy sessions;
• Remote or hybrid work options.

Compensation:

€23, 833 - €37, 452/year, including base salary, variable bonus, net equity value, with adjustments based on skills and impact. Benefits include health insurance, meal allowance, equity shares, remote work allowance, flexible hours, and more.

Note: Candidates must have a valid EU visa and be based in Portugal. No relocation assistance provided.

Sword Health is an equal opportunity employer and does not discriminate based on age, race, gender, disability, or other protected categories.