Joveo AI招聘远程自动化测试工程师职位,在阿联酋|LinkedIn
关于Joveo:每家公司都说他们"AI-first"。我们确实如此。Joveo的招聘广告平台通过机器学习、实时竞价和预测分析处理数百万次招聘决策,帮助全球最大的雇主更快更公平地找到合适的人。但我们没完。远未完成。
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Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.
We are looking for proficient programmers to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development.
Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.
To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform.
Benefits: Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $50-$100+/hr. Opportunities for higher-paying projects are available with strong performance. Impact: help shape the future of AI technologies.
Responsibilities: Design and solve diverse coding problems used to train AI systems with an emphasis on Android development. Write clear, high-quality code snippets and detailed explanations. Evaluate AI-generated code for accuracy, performance, and clarity. Provide feedback that directly shapes the next generation of AI models.
Qualifications: Fluency in English (native or bilingual level). Preferred experience in Kotlin. Proficiency in at least one of other the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Excellent writing and grammar skills. A bachelor’s degree (completed or in progress). Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.
Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.
Fluency in English (native or bilingual level). Preferred experience in Kotlin. Proficiency in at least one of other the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Excellent writing and grammar skills. A bachelor’s degree (completed or in progress). Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.
Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $50-$100+/hr. Opportunities for higher-paying projects are available with strong performance. Impact: help shape the future of AI technologies.
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关于Joveo:每家公司都说他们"AI-first"。我们确实如此。Joveo的招聘广告平台通过机器学习、实时竞价和预测分析处理数百万次招聘决策,帮助全球最大的雇主更快更公平地找到合适的人。但我们没完。远未完成。
🤖 我们正在招聘:QA测试工程师/自动化工程师 🧭 雇佣类型:全职 🚀 等级:开放(适合初级/中级) 我们正在寻找一位注重细节的QA测试工程师/自动化工程师,喜欢确保软件质量并构建高效的测试流程。
我们正在寻找一名质量保障工程师加入我们的团队,以训练AI模型。您将测量这些AI聊天机器人的进展,评估其逻辑,并解决问题以提高每个模型的质量。
我们正在寻找一名质量保障工程师加入我们的团队,以训练AI模型。您将测量这些AI聊天机器人的进展,评估其逻辑,并解决问题以提高每个模型的质量。