Technical Quality Analyst Intern
Sorsiri
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- MarketingStatisticsREST APIsSQLGitJira
- Work
- On-site in India · internship
- Pay
- Not stated by the employer.
- Skill demand
- Statistics32%REST APIs29%SQL21%Marketing1%of 99 similar fresher jobs posted in India this week
- Listed
- 5 Nov 2026 · still open
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About Sorsiri
Sorsiri is an AI-native marketing platform designed to help founders and businesses create, plan, and publish relevant content with less effort by combining user knowledge, business context, and built-in intelligence.
Role Overview
As a Technical QA Intern, you will ensure the reliability, intuitiveness, and intended functionality of Sorsiri's products. You will test new features, identify bugs, validate product workflows, document issues, and collaborate with developers and product teams for resolution. This role provides exposure to the complete product development lifecycle, from requirements understanding and feature testing to release validation and post-release monitoring.
Key Responsibilities
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Product & Feature Testing
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Test new features and product releases across web applications.
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Understand product requirements and convert them into test scenarios.
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Perform functional, regression, integration, and exploratory testing.
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Test complete user journeys across different product workflows.
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Verify feature adherence to product requirements.
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Bug Identification & Reporting
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Identify, reproduce, and document bugs clearly.
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Create detailed bug reports including steps to reproduce, expected behaviour, and actual behaviour.
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Capture relevant screenshots, videos, logs, or supporting information.
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Work with developers to validate fixes.
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Retest resolved issues before marking them complete.
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Technical QA
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Test APIs and integrations where required.
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Validate frontend and backend behaviour.
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Perform basic API testing using tools such as Postman.
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Check data flow between different parts of the application.
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Identify edge cases and unexpected system behaviour.
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Perform basic cross-browser and responsive testing.
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AI & Product Testing
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Test AI-powered workflows.
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Test AI-generated content and responses.
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Identify inconsistent, incorrect, or unexpected AI behaviour.
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Test different inputs and edge cases for AI.
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Validate AI outputs against defined product requirements.
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Report issues related to prompts, workflows, context, or output quality.
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Release & Quality Assurance
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Participate in pre-release testing.
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Conduct regression testing before major releases.
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Maintain test cases and QA documentation.
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Support product teams during feature launches.
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Help identify recurring issues and opportunities to improve product quality.
Requirements & Tech Stack
- Currently pursuing or recently completed a degree in Computer Science, Information Technology, Engineering, or a related field.
- Strong attention to detail.
- Good logical and analytical thinking.
- Ability to identify inconsistencies and think through edge cases.
- Willingness to learn technical QA practices and tools.
- Comfortable working in a fast-paced startup environment.
- Ability to work independently and take ownership of assigned tasks.
Technical Skills
Basic understanding of:
- Software development lifecycle
- Manual software testing
- Test cases and test scenarios
- Bug tracking and reporting
- Web applications
- APIs and API testing
- Browser developer tools
- Basic databases and SQL
- Git/GitHub
- Postman or similar API testing tools
- Jira, Linear, ClickUp, or similar project management tools
Good to Have:
Experience with one or more of the following:
- QA or testing of web applications
- API testing
- SQL
- Automation testing
- AI/LLM-based products
- Prompt testing or evaluation
- SaaS products
- Startup environments
What You'll Learn
During the internship, you will gain hands-on exposure to:
- Real-world software testing and QA processes.
- Product development and release cycles.
- Working with engineering and product teams.
- API and integration testing.
- AI product testing and evaluation.
- Bug tracking and root-cause analysis.
- Building structured test cases.
- Product quality and user experience.
- How an early-stage technology company builds and ships products.