Senior QA Analyst (Frontend) – (India)
Remote
India only
Overview
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 behavior into a validated state model/FSM, including decision forks, equivalence classes, persona-specific behavior, 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: 19 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)
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.
Responsibilities
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• 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 behavior
• Apply boundary testing techniques to identify edge-case failures across frontend input handling and the middleware calls that consume that data
• Use equivalence partitioning to design efficient, high-coverage test cases across valid, invalid, and edge-case input classes for form and workflow fields
• 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
• Lead defect triage sessions, prioritizing issues by severity, impact, and reproducibility
• Partner with developers to clarify root causes and confirm fixes against original defect conditions
• Mentor junior QA testers on exploratory techniques and structured test design
• Contribute to test strategy documentation and coverage planning for frontend/middleware features
• Formalize and maintain the onboarding FSM/state-transition model based on observed application behavior
• Identify and document decision forks, state dependencies, persona-specific variations, and boundary conditions
• Validate coverage across the representative onboarding personas and identify gaps requiring additional controlled testing
• Produce a validated frontend/state-model evidence package for handoff to the Middleware SDET workstream
• Maintain traceability between observed UI behavior, FSM states, decision forks, and supporting evidence
Required Qualifications
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• Solid 3-5+ years of experience as a QA Analyst with exposure to both frontend and middleware testing
• Demonstrated expertise in exploratory and boundary testing methodologies
• Practical experience applying equivalence partitioning and other formal test design techniques
• Familiarity with state-machine/workflow-state concepts and validating multi-step systems against expected state transitions
• Strong defect triage experience, including severity/priority classification and cross-team coordination
• Analytical mindset with the ability to identify non-obvious edge cases
• Effective communication skills with the ability to guide triage discussions and mentor peers
• Experience testing complex multi-step workflows, onboarding systems, registration flows, or account-creation processes is strongly preferred
• Ability to translate observed application behavior into structured state-transition models or equivalent workflow representations
• Working familiarity with browser and network developer tools is preferred; deep protocol-level expertise is not required
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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.
Source: the employer's careers page. Last checked 2026-09-30. Posted 2026-09-28.