Software Quality Assurance engineer - Bangladesh

## About SME Careers As AI systems become more sophisticated, they rely on human knowledge to better understand context and the world. At SME Careers, we partner with leading AI labs to improve how the next generation of intelligent systems learn, reason, and communicate. SME Careers is a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world's top AI companies and foundation model labs. Your expertise as an Software Quality Assurance engineer will directly help improve the world's premier AI models. Your expertise will play an important role in shaping the future of AI. ## About the Role In this hourly, remote role, you will review and compare AI-generated responses and, when needed, produce reference answers that demonstrate sound step-by-step problem-solving. You will evaluate solutions for accuracy, clarity, and adherence to the prompt, identify methodological or conceptual errors, fact-check claims, and provide expert feedback that helps models produce logical, clearly explained outputs. You will also rate and rank multiple responses using consistent rubrics and document the reasoning behind your judgments. This position is with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world's top AI companies and foundation model labs. Your work will directly help improve the world's premier AI models. ## What You'll Do - Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. - Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. - Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. - Communicate test outcomes, defect findings, and evaluation rationales in clear, professional English for asynchronous review cycles. - Execute structured manual test passes (smoke, regression, exploratory) on internal tools and workflows used for data collection, labeling, and quality review. - Document high-signal bug reports with reproducible steps, expected vs. actual behavior, environment details, and impact to end users and reviewers. - Support and run existing automated checks (where available) to quickly detect regressions in critical user journeys; flag flaky results and propose stabilization steps. - Track defect lifecycle through triage to verification, ensuring fixes are validated and regression risk is assessed before items are marked done. ## What You Bring - Minimum Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience. - 2–5 years of relevant professional experience in software quality assurance and testing (manual and/or automation support). - English proficiency: Minimum C1 level. - Previous experience with AI data training, annotation, or evaluating AI-generated content is strongly preferred. - Working knowledge of test design techniques (equivalence classes, boundary value analysis, state transitions) and how to apply them to real product flows. - Ability to evaluate risk and select an efficient set of manual tests for smoke and regression coverage under time constraints. - Proficiency in defect lifecycle concepts (triage, severity/priority, verification) and producing concise, actionable defect documentation. - Practical understanding of test automation concepts (what to automate, how to interpret failures, and how to reduce flakiness) even if you are not the primary framework owner. - Detail-oriented and self-directed: able to manage flexible hours, follow written guidelines, and deliver consistent output in a remote contract setup. ## Application & Onboarding Process - Submit your application with an updated CV highlighting QA testing experience (manual and automation exposure) and examples of defect documentation. - Complete a short calibration task focused on evaluation consistency and written feedback quality. - Attend a structured interview focused on software QA fundamentals, testing judgment, and defect reporting. - Sign a contractor agreement and complete identity/payment setup. - Onboard with project guidelines, quality rubrics, and a short trial period to confirm consistency. ## Job Details - Company: SME Careers (subsidiary of SuperAnnotate) - Role: Software Quality Assurance engineer - Employment type: Contract (hourly) - Location: Remote (Bangladesh) - Schedule: Flexible hours; asynchronous work - Pay range (USD): $2.95–$4.14 per hour (based on skills and calibration outcomes) - Headcount: 1 ## Why Join Us - Flexible, remote contract work that fits around other commitments. - Clear rubrics and written guidelines to help you deliver consistent QA and evaluation decisions. - Exposure to a variety of product flows and failure modes through structured review and testing tasks. - Your QA mindset directly contributes to improving the reliability of AI systems used by real customers.

### Your Profile
- Minimum Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.
- 2–5 years of relevant professional experience in software quality assurance and testing (manual and/or automation support).
- English proficiency: Minimum C1 level.
- Previous experience with AI data training, annotation, or evaluating AI-generated content is strongly preferred.
- Working knowledge of test design techniques (equivalence classes, boundary value analysis, state transitions) and how to apply them to real product flows.
- Ability to evaluate risk and select an efficient set of manual tests for smoke and regression coverage under time constraints.
- Proficiency in defect lifecycle concepts (triage, severity/priority, verification) and producing concise, actionable defect documentation.
- Practical understanding of test automation concepts (what to automate, how to interpret failures, and how to reduce flakiness) even if you are not the primary framework owner.
- Detail-oriented and self-directed: able to manage flexible hours, follow written guidelines, and deliver consistent output in a remote contract setup.

### Key Responsibilities
- Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
- Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
- Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
- Communicate test outcomes, defect findings, and evaluation rationales in clear, professional English for asynchronous review cycles.
- Execute structured manual test passes (smoke, regression, exploratory) on internal tools and workflows used for data collection, labeling, and quality review.
- Document high-signal bug reports with reproducible steps, expected vs. actual behavior, environment details, and impact to end users and reviewers.
- Support and run existing automated checks (where available) to quickly detect regressions in critical user journeys; flag flaky results and propose stabilization steps.
- Track defect lifecycle through triage to verification, ensuring fixes are validated and regression risk is assessed before items are marked done.