Linguistic Contractor, Latin-American Spanish

As a Linguistic Contractor at Sesame, your main responsibilities include evaluating and refining linguistic data to enhance AI models, providing expert judgment on language-related tasks, ensuring quality and consistency in data annotation, and collaborating with AI researchers to design effective linguistic evaluation processes.

To qualify for the Linguistic Contractor position at Sesame, you need to be a native speaker of Latin-American Spanish, fluent in English, and have experience with data annotation work or language service providers. A background in linguistics, through a degree or relevant experience, is also required.

No, the Linguistic Contractor position at Sesame is part-time, typically requiring about 10 hours of work each week. However, there is potential for that to increase, depending on project needs and your availability.

The contract duration for the Linguistic Contractor role at Sesame is between 3 to 6 months. During this time, you will contribute significantly to the development of conversational AI, honing your linguistic skills in an exciting and innovative environment.

Working as a Linguistic Contractor at Sesame provides excellent opportunities for professional growth. You will collaborate with experienced AI researchers and industry leaders, enhancing your skills in data annotation and language evaluation, and potentially leading to future roles with more responsibilities in the tech world.

When responding to this question, highlight any specific projects you have worked on that involved data annotation. Discuss the tools you used, the challenges you faced, and how you ensured the quality and consistency of the data, emphasizing your attention to detail and linguistic expertise.

To answer effectively, discuss processes you follow for evaluating data, such as setting up criteria for quality checks, using peer reviews, and consistently refining your evaluation methods. Providing examples of past work where you successfully improved data quality will strengthen your response.

In your answer, emphasize the importance of open communication, regular feedback, and understanding the researchers' needs. Describe any past experiences working on interdisciplinary teams and how you facilitated productive collaboration while staying focused on linguistic goals.

This is a chance to showcase your passion for technology and linguistics. Discuss your keen interest in how language shapes human-AI interaction and the exciting potential of AI voices in everyday life. Relating personal experiences or motivations can make your answer more engaging.

Discuss any ongoing education you pursue, such as online courses, webinars, or relevant readings. Mention any communities or professional organizations you are part of and how they help you stay informed about the latest trends and advancements in linguistics and AI.

Focus on a specific instance where you faced a difficult task, explaining the context and what made it challenging. Discuss the steps you took to overcome the challenge and the successful outcome, demonstrating your problem-solving skills and resilience.

Research Sesame's mission and vision ahead of time so you can share your understanding of their commitment to creating lifelike AI interactions. Discuss how you see yourself contributing to this mission as a Linguistic Contractor, reinforcing your alignment with their goals.

In your response, highlight your openness to feedback and willingness to learn from it. Share examples of how you’ve incorporated constructive criticism in the past to improve your work, showing a growth mindset and adaptability.

List specific tools or software you have experience with, such as data annotation platforms, language processing tools, or quality assessment systems. Discuss how you utilized these tools effectively in previous roles to demonstrate your technical expertise.

Describe a step-by-step approach that includes initial research, defining evaluation criteria, conducting tests with real users, gathering data, and refining the process. Emphasize how you would apply both linguistic knowledge and technical insights in this evaluation.