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Sentiment Analysis Jobs in New York (NOW HIRING)

Kore.AI Developer

New York, NY ยท Remote

$53.75 - $69.25/hr

NLP, intents, entities, dialog design, sentiment analysis. * Experience with bot orchestration, event handling, webhooks, and bot lifecycle management. * Knowledge of JSON, XML, MySQL/NoSQL, and ...

Senior ML/AI Engineer

New York, NY ยท On-site

$170K - $230K/yr

Design, build, and deploy ML models for demand forecasting, time series prediction, consumer sentiment analysis, and anomaly detection at enterprise scale * Develop and iterate on the platform ...

New

Senior ML/AI Engineer

New York, NY ยท Remote

$170K - $230K/yr

Design, build, and deploy ML models for demand forecasting, time series prediction, consumer sentiment analysis, and anomaly detection at enterprise scale * Develop and iterate on the platform ...

New

Apply AI models and strategies to scale core monitoring functions, including sentiment analysis and entity tagging that identifies Chubb, competitors, and products across coverage. * Support Chubb ...

Manager, Media Relations

Manhattan, NY ยท On-site

$82K - $121K/yr

Apply AI models and strategies to scale core monitoring functions, including sentiment analysis and entity tagging that identifies Chubb, competitors, and products across coverage. * Support Chubb ...

Showing results 21-40

Sentiment Analysis information

What are the key skills and qualifications needed to thrive in the sentiment analysis position, and why are they important?

To excel in Sentiment Analysis, you need a solid understanding of natural language processing (NLP), data analysis, and a degree in computer science, linguistics, or a related field. Familiarity with tools such as Python (with libraries like NLTK, spaCy, or TextBlob), machine learning frameworks, and data visualization software is typically required. Strong problem-solving abilities, analytical thinking, and clear communication skills help professionals effectively interpret data and present insights. These capabilities are crucial for accurately assessing public opinion, improving customer experiences, and guiding business decisions through actionable sentiment data.

What is a sentiment analysis?

A Sentiment Analysis job involves using natural language processing (NLP), machine learning, and data analysis techniques to evaluate and interpret emotions in text data. Professionals in this role analyze customer reviews, social media posts, and other textual content to determine sentiment as positive, negative, or neutral. They help businesses understand customer opinions, track brand perception, and improve decision-making. This role often requires skills in programming, data science, and linguistic analysis.

What are some common challenges encountered in sentiment analysis roles?

Professionals in Sentiment Analysis often face challenges such as dealing with nuanced language, sarcasm, and context-dependent expressions that can affect analysis accuracy. Datasets may require extensive cleaning and pre-processing, and models must be continually refined to keep up with evolving language trends. Collaborating closely with product, marketing, or data science teams is vital to ensure that sentiment insights translate into actionable strategies. Staying up-to-date with advancements in NLP and regularly validating models helps maintain the quality and relevance of your analyses.

What are the most commonly searched types of Sentiment Analysis jobs in New York? The most popular types of Sentiment Analysis jobs in New York are:
What are popular job titles related to Sentiment Analysis jobs in New York? For Sentiment Analysis jobs in New York, the most frequently searched job titles are:
Infographic showing various Sentiment Analysis job openings in New York as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Kore.AI Developer

1 point system

New York, NY โ€ข Remote

$53.75 - $69.25/hr

Contractor

Re-posted 7 days ago


Job description

Required Skills

  1. Kore.ai Bot Development
  • Design, develop, and deploy conversational bots using the Kore.ai XO Platform (Dialog Tasks, Node Flows, NLP configuration, BotKit SDK, Webhooks, Event Handlers).
  • Build and configure conversational flows, entities, intents, tasks, and dialog orchestration.
  • Develop custom server-side logic for bots using Python or Java, including fulfillment scripts, API integrations, and middleware logic.
  • Optimize NLP performance by training utterances, improving intent accuracy, and tuning AI models.
  • Implement IVR, voice, chat, and omnichannel bot experiences leveraging Kore.ai’s multichannel capabilities.
  • Lead and represent Tech Team in Client calls and support solution and design discussion.
  1. Integrations & Backend Development
  • Build robust REST and SOAP service integrations between Kore.ai and enterprise platforms (CRMs, CCaaS, internal APIs, databases).
  • Develop custom middleware components using Python or Java for advanced processing, data enrichment, and orchestration.
  • Implement authentication frameworks (OAuth2, JWT, API Keys, etc.) for secure integration with client systems.
  • Support integration with contact center platforms (e.g., NICE CXone, Genesys) where applicable.
  1. Platform Configuration & Deployment
  • Configure bot lifecycle management, versioning, environment promotion, and CI/CD pipelines for bot releases.
  • Implement conversation logs, analytics, and monitoring capabilities to measure bot performance.
  • Work closely with UI/UX teams for designing conversational experiences, prompts, and persona alignment.
  1. Requirement Analysis & Documentation
  • Collaborate with product owners, business analysts, and stakeholders to gather functional and non‑functional requirements.
  • Participate in solution design workshops and translate requirements into technical specifications.
  • Prepare technical documentation: architecture diagrams, API contracts, flow diagrams, and deployment guides.
  1. Team Collaboration
  • Ability to work independently and as part of a distributed, cross-functional team and business users to ensure smooth delivery.
  1. Technical Skills
  • 2–5+ years of hands‑on experience developing bots on the Kore.ai XO Platform.
  • Strong programming experience in Python and Java (mandatory).
  • Expertise in building integrations using REST/SOAP APIs.
  • Good understanding of conversational AI concepts: NLP, intents, entities, dialog design, sentiment analysis.
  • Experience with bot orchestration, event handling, webhooks, and bot lifecycle management.
  • Knowledge of JSON, XML, MySQL/NoSQL, and cloud environments (AWS/Azure/GCP preferred).
  • Understanding of authentication protocols (OAuth, SAML, JWT, Basic Auth).

 
Preferred /Good-to-Have Skills

  • Experience integrating Kore.ai with contact center systems such as NICE CXone, Genesys, or Five9.
  • Experience on working in Agentic AI.
  • Working knowledge of Node.js or JavaScript for BotKit extensions.
  • Exposure to CI/CD tools such as Jenkins, GitLab, Azure DevOps.
  • Familiarity with microservices architecture.