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Salary
≈ $11k – $28k per year (Estimated)
Location
In office (India)
Seniority
Senior · 3+ years exp
Employment
Full-Time

First seen by Alion on Oct 6, 2026.

Overview
Company
Impact
Profile match
Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, Welo Data leverages over 25 years of experience in partnering with the world's most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span:- Annotation and Labeling: Transcription, summarization, image and video classification and labeling.- Enhancing LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking.- Data Collection and Generation: From institutional languages to remote field audio collection.- Relevance and Intent: Authoritative relevance solutions across any discovery target, with mature operating models and a highly trained global workforce.- The Welo Data advisory team members bring practical, applied AI expertise to your projects. They have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices.

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)


Responsibilities
• 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
• 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


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.


Limitless Growth: Apply your skills, access diverse content types, develop through structured learning, and explore career paths that can lead to permanent roles.


Limitless Support: Be part of a global community with real-time assistance from our Community Experience team.



How to Apply


Apply now by answering a few quick questions to join our database and become part of our growing community.



We can't wait to meet you!



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.



We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.



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