Posted 6 days ago 16 views
FaceEcho, a product by ViSignal Inc., is an AI-driven facial and health scan platform that provides users with skin, wellness, and health insights through a mobile app available on iOS and Android. Primarily serving B2B clients such as clinics, wellness providers, and health/insurance organizations, FaceEcho is currently deployed in clinical research and expanding its partner integrations. As the company scales, ensuring release quality and reliability is critical. This role involves working closely with the Product Manager and QA lead to transition from manual test tracking to a fully automated AI-driven UI testing process.
Key Responsibilities
- Set up a cloud-based, AI-driven automated testing environment, initially using TestMu AI (formerly LambdaTest), or recommend a superior alternative with stronger full UI automation capabilities.
- Download, install, and configure the current iOS and Android app builds within the testing platform, ensuring appropriate device and OS coverage.
- Review approximately 498 existing manual test cases documented in Google Sheets, assessing which can be fully automated end-to-end, which require adaptation, and which may be impractical to automate.
- Focus on automating UI/navigation test cases (about 82% of the suite) using AI tools, evaluating the feasibility of full automation versus the need for hand-written scripts.
- Investigate live-camera-dependent test cases (front scan, 5-angle scan, video scan) to determine if automation is possible, including testing if the platform supports pre-recorded or virtual video feeds as camera input.
- Develop an initial set of fully automated UI tests prioritizing the most valuable and time-consuming manual cases, aiming to replace manual execution tracked in Google Sheets.
- Document the environment setup, configuration choices, and test suite structure clearly to enable the internal QA lead to maintain and extend the automation independently.
- Provide a written recommendation outlining what can be fully automated, what requires manual testing, and how to track and report automated test results moving forward.
Required Qualifications
- Proven hands-on experience with mobile app test automation on both Android and iOS platforms, preferably involving AI-driven, no-code, or low-code UI automation tools, supported by concrete examples.
- Familiarity with cloud-based device testing platforms such as LambdaTest, TestMu AI, BrowserStack, or Sauce Labs; direct experience with TestMu AI is advantageous but not mandatory.
- Ability to work independently using written specifications and existing test documentation, including interpreting manual test trackers with minimal supervision.
- Strong written communication skills in English, capable of providing structured progress updates regularly.
Preferred Qualifications and Benefits
- Experience with Flutter apps and their camera plugin behavior is highly desirable, given the app’s Flutter framework and live camera test cases.
- Candidates based in Pakistan are preferred due to existing team time zone alignment, though this is not a strict requirement.
- This is a remote, independent contractor role with an hourly rate of $4–5, depending on experience, averaging 2–4 hours per week.
- Work is organized in approximately 5-hour increments with progress reviews to maintain oversight while allowing flexibility.
- Payment is processed via Remitly, aligned with approved work increments.
- Initial engagement focuses on environment setup and test automation feasibility investigation, with strong potential for ongoing involvement in maintaining and expanding the automated test suite.
- Access to the app builds, existing manual test case documentation, and testing platform credentials will be provided upon engagement.
This opportunity is ideal for a self-driven automation specialist eager to pioneer AI-driven testing in a fast-moving, innovative health tech environment.
Skills
Faceecho.ai
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