Localizationacademy
Senior ML Data Linguist
Localizationacademy, San Diego, California, United States, 92189
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.
Team
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 a ML Data 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 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.
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!
Qualifications:PhD in Linguistics preferred.Experience teaching at university level.Linguistic Expertise: Strong understanding of linguistic principles, grammar, syntax, and semantics, with the ability to apply this knowledge to improve language generation.Knowledge of core programming principles. Python programming skills. Familiarity with popular NLP libraries and frameworks.Data Annotation: Proficient in data annotation and labeling techniques, with experience working on large-scale text datasets.Knowledge of more than one language and experience in localization.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.
Basic Qualification:Education: Bachelor's or Master's degree in Linguistics, Computational linguistics, computer science, natural language processing, or a related field.6+ years of relevant industry experience in data labeling, computational linguistics, natural language processing, or similar roles.
Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
For positions in this location, we offer a base pay of $98,500 - $162,500, 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.
Work Personas:We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.
Equal Opportunity Employer:ServiceNow is an equal 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. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations:We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations:For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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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.
Team
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 a ML Data 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 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.
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!
Qualifications:PhD in Linguistics preferred.Experience teaching at university level.Linguistic Expertise: Strong understanding of linguistic principles, grammar, syntax, and semantics, with the ability to apply this knowledge to improve language generation.Knowledge of core programming principles. Python programming skills. Familiarity with popular NLP libraries and frameworks.Data Annotation: Proficient in data annotation and labeling techniques, with experience working on large-scale text datasets.Knowledge of more than one language and experience in localization.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.
Basic Qualification:Education: Bachelor's or Master's degree in Linguistics, Computational linguistics, computer science, natural language processing, or a related field.6+ years of relevant industry experience in data labeling, computational linguistics, natural language processing, or similar roles.
Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
For positions in this location, we offer a base pay of $98,500 - $162,500, 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.
Work Personas:We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.
Equal Opportunity Employer:ServiceNow is an equal 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. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations:We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations:For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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