Content Analyst, ServiceNow
$94.3-155.7k
+ Equity (when applicable), variable/incentive compensation and benefits
Office located in Santa Clara, CA
Cloud-based digital workflows for enterprises
Job no longer available
Cloud-based digital workflows for enterprises
1001+ employees
Job no longer available
$94.3-155.7k
+ Equity (when applicable), variable/incentive compensation and benefits
Office located in Santa Clara, CA
1001+ employees
Company mission
To transform IT to revolutionise the enterprise.
Role
Who you are
- 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
- PhD in Linguistics preferred
- Experience teaching at a University
- 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
- Fluent in Korean highly preferred
What the job involves
- You will play a major part in building next generation Large Language Models(LLM's) for Enterprise Language Generation that will power NOW platform with AI experiences in day to day work of our customers
- We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 9k+ enterprise customers around the world
- 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
- 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
Our take
ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations, transforming old, manual ways of working into modern digital workflows. The company was founded in 2004 with a vision to build a cloud-based platform that would enable regular people to route work effectively through the enterprise.
Much as Salesforce enables a company to manage its external clients by keeping a record of all contacts and interactions, ServiceNow promises an internal system to meet the needs of employees. It has succeeded in claiming half the market, setting itself apart from legacy IT service-management software players like BMC Software, Hewlett Packard Enterprise, Cherwell Software and CA Technologies.
The company's success comes from two product traits: simplicity and customisability. ServiceNow's IT tools don't require the IT department to set them up. Once running, they offer a single collection centre for requests, data points and checklists, all of which can in turn be analysed by algorithms to predict needs, flag concerns and measure efficiency.
The company has more than 7500 customers, including 80% of the Fortune 500 list of the United States' largest corporations. ServiceNow now looks to increase its revenue threefold in upcoming years and has entered into a 5-year partnership plan with Visa, beginning with the launch of a Visa-integrated dispute resolution solution for issuers. The company is prioritising organic growth over mergers and acquisitions, with a target revenue of $15 billion, something which its Visa partnership will no doubt aid in achieving.
Freddie
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Mar 2012
$11m
GROWTH EQUITY VC
Feb 2012
$17.9m
GROWTH EQUITY VC
Total funding: $83.8m
Company benefits
- Commuter benefits
- Annual learning stipends
- Work from home opportunities
- Generous family leave
- Matched donations
- Flexible PTO
- 401(k) matching
- Paid volunteer time
Company HQ
Santa Clara, CA
Leadership
Fred Luddy
(Founder & Chairman Of The Board)Previously Software Developer at Amdahl Corporation for 4 years and CTO at Peregrine Systems for 13 years.
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