Job Description

We are seeking a Senior QA Analyst to own quality assurance across the frontend-to-middleware boundary of a multi-step web onboarding workflow.

This role goes beyond scripted execution — it requires the analytical depth to design exploratory test strategies, apply structured testing techniques like equivalence partitioning, and validate that the workflow's step-by-step progression and submission states behave correctly under a wide range of input conditions.

The candidate will review the evidence produced by the Manual QA Tester and convert observed frontend behaviour into a validated state model/FSM, including decision forks, equivalence classes, persona-specific behaviour, and boundary conditions.

The ideal candidate is comfortable triaging complex defects and driving them to resolution.

Project Details

Title: Senior QA Analyst (Frontend) - (India)

Rate: $6/hr

Start Date: 19th October

Duration: 4 Weeks

Commitment: 40 Hours per week

Location: India (Remote)

Job Type: Freelance (with the possibility of full time employment based on performance and project needs in all opportunity)

Responsibilities

1. Design and execute advanced exploratory testing to uncover issues not captured by scripted test cases, particularly around how form-level validation carries through to submission behaviour
2. Apply boundary testing techniques to identify edge-case failures across frontend input handling and the middleware calls that consume that data
3. Use equivalence partitioning to design efficient, high-coverage test cases across valid, invalid, and edge-case input classes for form and workflow fields
4. Validate application behavior against defined state models (e.g., step progression, enabled/disabled action states, submission and confirmation states) to confirm correct transitions under both expected and unexpected input
5. Lead defect triage sessions, prioritizing issues by severity, impact, and reproducibility
6. Partner with developers to clarify root causes and confirm fixes against original defect conditions
7. Mentor junior QA testers on exploratory techniques and structured test design
8. Contribute to test strategy documentation and coverage planning for frontend/middleware features
9. Formalize and maintain the onboarding FSM/state-transition model based on observed application behavior.
10. Identify and document decision forks, state dependencies, persona-specific variations, and boundary conditions.
11. Validate coverage across the representative onboarding personas and identify gaps requiring additional controlled testing.
12. Produce a validated frontend/state-model evidence package for handoff to the Middleware SDET workstream.
13. Maintain traceability between observed UI behavior, FSM states, decision forks, and supporting evidence.

Required Qualifications

1. Solid 3-5+ years of experience as a QA Analyst with exposure to both frontend and middleware testing
2. Demonstrated expertise in exploratory and boundary testing methodologies
3. Practical experience applying equivalence partitioning and other formal test design techniques
4. Familiarity with state-machine / workflow-state concepts and validating multi-step systems against expected state transitions
5. Strong defect triage experience, including severity/priority classification and cross-team coordination
6. Analytical mindset with the ability to identify non-obvious edge cases
7. Effective communicator capable of guiding triage discussions and mentoring peers
8. Experience testing complex multi-step workflows, onboarding systems, registration flows, or account-creation processes is strongly preferred.
9. Ability to translate observed application behavior into structured state-transition models or equivalent workflow representations.
10. Working familiarity with browser and network developer tools is preferred; deep protocol-level expertise is not required.

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Why join Welo Data?

✨ Limitless Flexibility: Work on projects that fit your schedule while collaborating with a global leader in AI data services and localization.

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About Welo Data

Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.

At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.