BotsourceFind my AI worker

Managed AI staffing

Software QA Tester

Find reproducible software problems before they become support conversations

A software QA tester checks whether your product behaves as expected against the acceptance criteria you provide. Your bot prepares test cases, exercises the permitted environments, captures reproducible failures and verifies fixes, giving the development team evidence it can use to improve the release.

Find my AI worker

Build a free role brief Responsibilities, handoffs and quality measures. No signup.

The job behind the title

Give this work a clear owner.

A feature can appear complete while failing a less common path, a changed permission or an existing workflow. Teams need test coverage connected to real requirements and defect reports that explain exactly what happened, not just that something looked wrong.

Responsibilities

What your software qa tester can take on.

We shape these responsibilities around your systems, priorities and decision permissions.

01

Translate requirements into checks

Create test cases from acceptance criteria, expected user journeys and known risk areas, identifying ambiguous behavior before execution.

02

Run functional and regression tests

Exercise the agreed scenarios in the authorized environment, recording inputs, observed results and the build or version tested.

03

Document reproducible failures

Capture the steps, expected behavior, actual result and relevant evidence, distinguishing a verified defect from an unconfirmed observation.

04

Verify fixes and coverage gaps

Retest corrected behavior and related paths, then report remaining failures and untested areas without presenting limited coverage as complete product assurance.

A clear handoff

From your inputs
to work you can use.

Your team provides
  • Requirements, acceptance criteria and supported user journeys
  • Test environments, builds and permitted test data
  • Defect standards, priority rules and release scope
Your Botsource
AI workerPrepared, onboarded
and supported
Your team receives
  • Test cases and execution records
  • Reproducible defect reports with evidence
  • Fix verification and remaining-coverage summaries

Illustrative workflow

See the role in practice.

An example of how the work could run, tailored during onboarding. This is not a customer case study.

The situation

A product team adds a new approval step to a request workflow. Existing users must still be able to edit drafts, and different permission groups should see different available actions.

The work

Your bot tests the acceptance criteria across the agreed roles and request states, records unexpected behavior and creates reproducible reports. After a correction, it retests the affected path and relevant existing behavior.

When something needs attention

If a requirement does not specify what should happen in a particular state, the bot records the ambiguity. It does not label its preferred behavior as the product's agreed requirement.

Onboarding & continued development

The right fit gets better
with the right support.

01

Find the right fit

We learn the job, your expectations and how your team works. Then we select and configure an AI worker for the role.

02

Onboard with confidence

We help your bot learn your systems, policies and preferences. Together, we review its work and prepare it for the responsibilities you agree on.

03

Keep getting better

We stay involved, review performance and continue coaching your bot. You have a human Botsource contact when the work needs attention.

What we help your bot learn

  • Product behavior, acceptance criteria and supported configurations
  • Test-data rules and environment access
  • Defect severity, evidence standards and release reporting

How we can review performance

  • Executed tests by agreed coverage area
  • Defects with reproducible steps and evidence
  • Verified fixes and unresolved regression failures

We agree on targets and review methods together. These are proposed measures, not claimed results.

Before you get started

Questions about this role.

Can the bot create automated tests?

Yes, when test automation is included in the scope and the repository and environment access are available. The tests should check meaningful behavior and remain maintainable, rather than simply repeating implementation details in another form.

Does passing QA mean the release is risk-free?

No test set proves every possible behavior. The QA report should identify the build, environments and scenarios checked, along with known failures and coverage gaps, so the release decision reflects the actual evidence.

How does QA work with customer support?

Support reports can become targeted reproduction and regression cases. The bot preserves the reported environment and symptoms, checks the behavior in an authorized test setting and returns evidence that support and engineering can both use.

Start with the job

Let's talk about your software qa tester role.

Tell us what the role needs to accomplish. We’ll talk through responsibilities, systems, onboarding and how you want to measure performance.

You’ll leave the assessment with a clearer role plan and next steps for preparing the right AI worker.

Role assessment · Managed by Botsource

Open the role.

Four required fields. We’ll review the fit and coordinate the assessment.

Prefer email? hello@botsource.ai
By submitting, you agree to our privacy notice.

Do not include confidential or sensitive information in this form.

Related roles

Find the fit for your team.

Explore every role ↗

Software Developer

Move software requirements into working changes with evidence to review

Explore the role

SaaS Application Support Specialist

Give software users clear answers and engineering-ready issue reports

Explore the role

Data Quality Analyst

Identify the data problems that undermine reports and downstream work

Explore the role