AI Data Specialist | On-Site

The AI Data Specialist at Welo Data is responsible for data annotation and evaluation, ensuring high-quality natural language data processing. You'll engage in data generation and quality assurance tasks while implementing basic quality control measures to maintain data integrity. Additionally, you'll recognize error patterns and address discrepancies to uphold the reliability of processed data, making your role essential for the success of our AI technology projects.

To qualify for the AI Data Specialist position at Welo Data, you should hold a Bachelor's degree or have relevant experience in Linguistics, Communication, or a related field. Familiarity with data annotation and quality assurance is crucial, along with strong analytical skills to identify patterns and anomalies in the data. Excellent communication skills and the ability to adapt to changing priorities are also key to succeeding in this dynamic role.

Yes, having a basic understanding of natural language processing (NLP) is important for the AI Data Specialist role at Welo Data. Your knowledge of linguistics will be applied to data processing tasks, ensuring linguistic accuracy and relevance in all processed and annotated data. Being comfortable with NLP concepts will enhance your contributions to our projects focused on machine learning models.

As an AI Data Specialist at Welo Data, you can expect a fast-paced, collaborative work environment. You'll work alongside a dedicated team that values communication and adaptability. Our offices in Sunnyvale or Burlingame provide a supportive atmosphere that encourages active participation in innovative AI technology projects, making every day an opportunity to learn and grow.

Welo Data offers a wide range of benefits to its AI Data Specialists, including paid sick time, comprehensive medical, dental, and vision insurance options, as well as a 401(k) retirement plan. Additional benefits include a Health Savings Account (HSA) and various voluntary insurance options. We strive to ensure our employees feel valued and supported while helping them develop their careers.

When answering, focus on specific projects where you applied your data annotation skills. Describe the type of data annotated, the tools used, and how you ensured accuracy and adherence to guidelines. Highlight any challenges faced and how you overcame them.

Discuss your approach to quality assurance, including the methods you utilize to verify data accuracy, such as double-checking entries or employing error detection algorithms. Provide examples of how your techniques improved data reliability in previous roles.

Share your strategies for managing conflicting data, such as reviewing guidelines or consulting with team members to reach a consensus. Emphasize your problem-solving skills and ability to arbitrate discrepancies effectively.

Explain your foundational knowledge of NLP, including its applications in machine learning and AI models. Discuss your experience with related tasks or projects that demonstrate your understanding of linguistic concepts and data relevance.

Talk about your time-management strategies. Discuss how you assess project deadlines and priority levels, and use examples of how you've successfully juggled multiple responsibilities in past roles while maintaining data quality.

Provide a specific example that showcases your attention to detail. Describe the error pattern you identified, the steps you took to investigate it, and how your actions improved the overall quality of the data set.

Mention specific tools or software that you've worked with, such as Excel, Python, or specialized data annotation platforms. Discuss your proficiency with these tools and how they helped you analyze data effectively.

Highlight your communication style and any specific strategies you implement to ensure clarity and collaboration. Consider discussing how you adapt your communication based on team dynamics and project needs.

Share your approach to continuous learning, whether it's through following industry experts on social media, attending webinars, or reading research papers. Emphasize how staying informed benefits your work and contributions.

Express your enthusiasm about the role and the impact Welo Data has in the AI industry. State your alignment with the company's mission and how your skills and experiences make you a great fit for this position.