SQAT - Argentina

## 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 SQA 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 As an SQA contractor, you will review AI-generated responses and compare multiple outputs against the prompt, assessing accuracy, clarity, and step-by-step reasoning. You will identify logical gaps, factual issues, and methodological errors, then provide structured feedback and improved explanations that help models produce reliable answers. You will fact-check claims, rate responses using consistent rubrics, and work remotely on an hourly basis with flexible hours. 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 work directly supports quality improvements in 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 results, defect reports, and evaluation rationale in clear, professional English (C1+), with unambiguous expected vs. actual outcomes. - Plan and execute functional, regression, and exploratory testing for web-based review and task workflows, focusing on risk and user-impact. - Expand and maintain automated smoke/regression coverage for critical workflows, investigate failures, and reduce flaky test behavior to keep signals reliable. - Log, prioritize, and verify defects using clear reproduction steps, severity/priority rationale, and concise evidence (screenshots/log excerpts where applicable). ## What You Bring - 2–5 years of relevant professional experience in Software Quality Assurance (manual + automation). - Minimum Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience. - 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 (e.g., boundary value analysis, equivalence partitioning, exploratory charters) and the defect lifecycle. - Hands-on experience with web test automation using at least one modern framework (e.g., Playwright, Cypress, Selenium) and a scripting language used for test automation (e.g., JavaScript/TypeScript or Python). - Practical API testing skills (HTTP fundamentals, REST concepts, status codes, auth patterns) using tools such as Postman/Insomnia or equivalent. - Ability to produce high-signal defect reports (clear steps, expected/actual, severity rationale) and collaborate effectively with engineers during triage. - Detail-oriented and self-directed work style suited to remote, flexible-hours contract work (consistent throughput, reliable availability, and careful adherence to QA checklists). ## Application & Onboarding Process 1. Apply with your resume/CV highlighting SQA responsibilities and any automation coverage you’ve owned. 2. Short screening call to confirm experience fit, availability, and communication level. 3. Time-boxed QA evaluation task to validate judgment on defect reporting, test prioritization, and automation decision-making. 4. Contract setup and remote onboarding (tool access, guidelines, and calibration). ## Job Details - Company: SME Careers (subsidiary of SuperAnnotate) - Role: SQA (Mid) - Location: Remote (AU posting) - Type: Hourly contract, flexible hours (part-time) - Compensation: USD $35–$49/hour (based on experience and assessment results) - Start: Rolling start after onboarding completion ## Why Join Us - Flexible schedule: choose when you work, within agreed delivery timelines. - Hourly paid contract work with clear, measurable quality targets. - Exposure to a high-volume quality environment where strong testing judgment and reliable automation directly improve outcomes. - Remote-first setup with documented processes for calibration and consistent QA standards.

### Your Profile
- 2–5 years of relevant professional experience in Software Quality Assurance (manual + automation).
- Minimum Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.
- 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 (e.g., boundary value analysis, equivalence partitioning, exploratory charters) and the defect lifecycle.
- Hands-on experience with web test automation using at least one modern framework (e.g., Playwright, Cypress, Selenium) and a scripting language used for test automation (e.g., JavaScript/TypeScript or Python).
- Practical API testing skills (HTTP fundamentals, REST concepts, status codes, auth patterns) using tools such as Postman/Insomnia or equivalent.
- Ability to produce high-signal defect reports (clear steps, expected/actual, severity rationale) and collaborate effectively with engineers during triage.
- Detail-oriented and self-directed work style suited to remote, flexible-hours contract work (consistent throughput, reliable availability, and careful adherence to QA checklists).

### 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 results, defect reports, and evaluation rationale in clear, professional English (C1+), with unambiguous expected vs. actual outcomes.
- Plan and execute functional, regression, and exploratory testing for web-based review and task workflows, focusing on risk and user-impact.
- Expand and maintain automated smoke/regression coverage for critical workflows, investigate failures, and reduce flaky test behavior to keep signals reliable.
- Log, prioritize, and verify defects using clear reproduction steps, severity/priority rationale, and concise evidence (screenshots/log excerpts where applicable).