AI Quality Assurance Tester – Hindi

As an AI Quality Assurance Tester – Hindi at Welo Data, your main responsibility will be to review and evaluate datasets specifically in the Hindi language. You will ensure these datasets meet high-quality standards for AI training. This includes identifying and labeling data, working with QA tools like Jira, and ensuring that the datasets help in improving the performance of AI models. Your insights and reviews will be pivotal in enhancing the end-user experience, making your role crucial to the development of AI technologies.

To qualify for the AI Quality Assurance Tester – Hindi position at Welo Data, you need a 4-year university degree in fields such as Marketing, Information Technology, or Computational Linguistics. Additionally, you should have at least 4 years of professional experience, and you must possess linguistic competency in Hindi (CEFR C2) and English (CEFR C1). Familiarity with QA tools, a deep interest in AI, and knowledge of Agile practices are preferred but not mandatory.

Welo Data seeks candidates with experience in training AI models, which includes data labeling, annotation, and utterance creation. Practical knowledge of QA tools like Jira is also essential. Those with a background in AI data structures and large language models will find their expertise particularly relevant to the role. Ultimately, experience that aligns with ensuring data quality for AI training is what we are looking for.

Yes, at Welo Data, all AI Quality Assurance Testers must work on-site in our Portland, OR testing lab. This collaborative environment allows for direct engagement with the team and access to resources that enhance the testing process. It’s an exciting way to be at the heart of innovation and quality assurance in AI!

As an AI Quality Assurance Tester at Welo Data, you’ll enjoy several benefits, including flexible working hours, medical, dental, and vision insurance, as well as participation in a 401(k) retirement plan. You’ll have the chance to work within an inspiring team while also enhancing your skills and gaining insights into the AI industry, making it not just a job, but a significant career opportunity.

When answering this question, focus on specific examples from your past work that demonstrate your ability to assess and ensure data quality. Mention any relevant projects, your role in them, and the impact your work had on the outcome. Highlight your familiarity with AI concepts and how you contributed to improving data integrity.

Describe your approach to organization and time management. You could mention using tools like Jira or other project management software to track progress and deadlines. Share a scenario where your prioritization led to improved workflow or results, emphasizing your ability to adapt to changing project requirements.

In this response, emphasize that data labeling is crucial for teaching AI models to recognize patterns and make decisions. Share a brief example of how accurately labeled data can lead to better model performance and user experience. Demonstrating your understanding of the data lifecycle can show your enthusiasm for the role.

Be specific about the QA tools you have experience with, such as Jira, and describe how you utilized them in past projects. Explain their role in tracking issues, managing tasks, and ensuring quality in data processes. Mention any challenges you faced and how you overcame them using these tools.

Discuss your approach to identifying, analyzing, and resolving discrepancies. Explain the importance of thorough testing and effective communication with the team to rectify issues. Providing an example from your experience where you effectively resolved a quality issue will strengthen your answer.

Share your passion for AI and how it drives your desire to work in this field. You may want to mention how you stay updated on AI trends or your excitement in contributing to innovative technological advancements. Relating your interests to Welo Data's mission can make your answer more impactful.

Choose a specific project where your efforts made a significant difference in the quality of data or outcomes. Explain your role, the challenges faced, the strategies implemented to maintain data quality, and the resulting success. Quantifying results can enhance the strength of your response.

Identify potential challenges, such as dealing with large datasets or communicating with team members. Discuss how your experience has provided you with the skills to overcome these challenges, such as through collaboration, strategic problem-solving, and a thorough understanding of AI principles.

Express your thoughts on how AI is evolving and its impact on data quality assurance. You might refer to trends like automation and machine learning enhancements. Relating your insights to Welo Data's objectives will demonstrate your engagement and vision for the future in this role.

Discuss your commitment to ongoing education through courses, workshops, industry publications, or networking events. Share how staying informed has enabled you to bring new ideas to previous teams and express your eagerness to keep learning within the innovative environment at Welo Data.