- 경험
- 2년 이상
- 샐러리
- —
- 채용 공고
- 1
- 게시됨
- 11시간 전
- 작업 모드
- 재택근무
- 적임
- Applicants must be located in the United States and able to work remotely.
- 재개하다
- 신청 시 필수 사항
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About Us
We are an AI data annotation and labeling company dedicated to creating the foundational infrastructure for advanced artificial intelligence models. Our platform links a worldwide network of skilled contributors to complex AI training assignments, including data labeling, code evaluation, and validation.
Role Overview
We are looking for a Remote QA Tester based in the US with a specialized focus on validating both software applications and AI-generated code. This position involves developing thorough test plans, assessing the accuracy, security, and functionality of AI-produced code, and maintaining the reliability of our core platform supporting thousands of daily users.
Key Responsibilities
- Validate AI-generated software code by executing and benchmarking snippets to ensure correctness, security, efficiency, and compliance with requirements.
- Create detailed and reusable manual and automated test cases, acceptance criteria, and comprehensive test plans for AI outputs and platform features.
- Conduct end-to-end, regression, and exploratory testing on web applications and annotation tools.
- Document edge cases, replicate bugs, and provide actionable feedback to engineering teams and AI training processes.
- Develop and sustain automated testing scripts to enhance continuous testing workflows where applicable.
Qualifications
- A minimum of 2 years experience in software quality assurance or testing.
- Proficiency in reading, writing, and troubleshooting code in one or more programming languages such as Python, JavaScript/TypeScript, Java, or C++.
- Comfortable assessing AI-assisted or machine-generated code for errors including syntax, logic, and edge-case issues.
- Experience with manual test creation, boundary testing, unit tests, and API testing tools like Postman.
- Exceptional attention to detail to identify subtle security flaws, edge cases, and unexpected behaviors in outputs.
- Must reside in the United States and be capable of working remotely.
Preferred Skills
- Familiarity with automated testing frameworks such as Selenium, Cypress, Playwright, or PyTest.
- Background knowledge in AI training methods such as Reinforcement Learning from Human Feedback (RLHF) or evaluating large language model (LLM) outputs.
- Experience working with crowdsourcing or gig-platform quality assurance workflows.
What We Offer
- Fully remote work flexibility within the United States.
- Opportunity to work directly with and evaluate cutting-edge AI models.
- Competitive compensation, flexible working hours, and options for professional development.