Intern

4 weeks ago

Santa Clara, United States Localizationacademy Full time
Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

If you are passionate about advancing Generative AI through computational linguistics and data labeling, and you thrive in a dynamic and innovative environment, we invite you to join our team of linguists and content analysts. As a member of our international team, you will engage in the creation, annotation, and analysis of synthetic data. You‘ll be working at the intersection of language and AI, in close collaboration with accomplished linguists, data scientists, and Machine Learning engineers, all contributing to groundbreaking AI projects. Together, we will shape the future of AI-powered natural language generation. Apply today and be part of our exciting journey

As an ML Data Linguist Intern, you will play a critical role in training and improving our Generative AI models. You will be responsible for providing high-quality synthetic data and leveraging your expertise in computational linguistics to enhance the natural language understanding and generation capabilities of our AI systems.

Responsibilities
  • Data Creation and Evaluation: Develop and assess synthetic data for Generative AI projects.
  • Data Labeling: Annotate and label large volumes of textual data to create high-quality training datasets for Generative AI models.
  • Data Preprocessing: Clean and preprocess raw text data, ensuring it is appropriately formatted for training and evaluation purposes.
  • Language Modeling: Develop and refine language models to improve the fluency, coherence, and naturalness of generated text.
  • Semantic Understanding: Apply computational linguistics techniques to enhance the understanding of semantics, sentiment, and context within text.
  • Grammar and Syntax: Analyze and improve the grammar, syntax, and sentence structure of generated text to ensure it adheres to linguistic rules and conventions.
  • Evaluation Metrics: Define and implement evaluation metrics to measure the quality and performance of Generative AI models.
  • Collaboration: Collaborate closely with cross-functional teams, including data scientists, researchers, and software engineers, to refine and iterate on the AI models.
  • Continuous Learning: Stay up to date with the latest advancements in Generative AI and computational linguistics, applying new techniques and methodologies to improve model performance.

Qualifications
  • Currently pursuing a Master‘s degree in Linguistics, Computational linguistics, Natural Language Processing, or related field.
    • Current anticipated graduation date must not be before December 2025.
  • Relevant previous internship or work experience in data labeling, computational linguistics, natural language processing, or similar roles.
  • Experience teaching at a university.
  • Understanding of linguistic principles, grammar, syntax, and semantics, with the ability to apply this knowledge to improve language generation.
  • Proficient in data annotation and labeling techniques, with experience working on large-scale text datasets.
  • Strong analytical and problem-solving skills, with the ability to analyze and interpret data to drive improvements in AI models.
  • Excellent written and verbal communication skills, with the ability to present complex technical concepts to both technical and non-technical stakeholders.
  • Knowledge of more than one language and experience in localization.
  • Python programming skills, familiarity with core programming principles, and ability to learn widely used NLP libraries and frameworks.
  • Demonstrated ability to work effectively in a collaborative team environment, fostering a culture of knowledge sharing and continuous learning.

Not sure if you meet every qualification? We still encourage you to apply We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate

For positions in this location, we offer a base pay of $41.69/hour, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.#J-18808-Ljbffr

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