Job Description

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

Responsibilities:

• 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

Requirements:

• Education: Bachelor's or Master's degree in Linguistics, Computational linguistics, computer science, natural language processing, or a related field. A Ph.D. is a plus.
• Experience: Minimum of 2 years of relevant industry experience in data labeling, computational linguistics, natural language processing, or similar roles.
• Linguistic Expertise: Strong understanding of linguistic principles, grammar, syntax, and semantics, with the ability to apply this knowledge to improve language generation.
• Data Annotation: Proficient in data annotation and labeling techniques, with experience working on large-scale text datasets.
• Knowledge of more than language and experience in localization.
• NLP Libraries: Familiarity with popular NLP libraries and frameworks such as NLTK, spaCy, TensorFlow, or PyTorch.
• Analytical Thinking: Strong analytical and problem-solving skills, with the ability to analyze and interpret data to drive improvements in AI models.
• Communication: Excellent written and verbal communication skills, with the ability to present complex technical concepts to both technical and non-technical stakeholders.
• Team Player: Demonstrated ability to work effectively in a collaborative team environment, fostering a culture of knowledge sharing and continuous learning.

If you are passionate about advancing Generative AI through data labeling and computational linguistics, and you thrive in a dynamic and innovative environment, we invite you to join our team. Together, we will shape the future of AI-powered natural language generation. Apply today and be part of our exciting journey!

For positions in the Bay Area, we offer a base pay of $94,300 - $155,700, 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 (subject to eligibility requirements). Compensation is based on the geographic location in which the role is located, and is subject to change based on work location.

Additional Information

ServiceNow is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.

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