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Remote Sentiment Analysis Jobs in New York (NOW HIRING)

Senior DevOps Engineer (Remote)

New York, NY ยท Remote

$142K - $182K/yr

... sentiment analysis, credit adversity, and more. Interested in machine learning? Take advantage of our growing team's collective knowledge and learn as you go. We fully embrace cross-training and ...

Director/VP, Data Product

Manhattan, NY ยท On-site +1

$255K - $267K/yr

Experience with natural language processing, sentiment analysis. * Strong communication and ... This is a hybrid position - partially remote and partially working out of our HQ in New York City.

Senior Product Manager

New York, NY ยท On-site +1

$138K - $182K/yr

This role is open to remote, but preferably based in NYC where you'll work from our office Monday ... Track financial market trends, user sentiment, and competitor moves, and use them to shape what we ...

Fully Remote (#LI-Remote) LivePerson (NASDAQ: LPSN) is a leader in trusted enterprise ... Maintain a clear understanding of contract terms, renewal timelines, customer sentiment, adoption ...

Account Manager, Mid-Market

New York, NY ยท On-site +1

$2.5K - $5.0K/mo

You are organised, analytical and self-directed. You thrive fully remote. What you will own * Your ... Monitoring health scores, contracts, product adoption and sentiment, catching risk early and ...

... sentiment signals, and escalation patterns * Partner with Product and Engineering to evaluate ... analyses and recommendations Remote Transition & Operational Build-Out * Lead the operational ...

... sentiment. The Reporting & Audience Insights Manager will work closely with the Editorial and Meme ... Analyze quantitative performance data to identify trends, top-performing content, audience growth ...

Remote Sentiment Analysis information

What is remote sentiment analysis?

Remote sentiment analysis is the process of evaluating and interpreting the emotional tone behind text data, such as social media posts, customer reviews, or emails, while working from a remote location. Professionals in this field use natural language processing (NLP) tools and machine learning algorithms to identify opinions, attitudes, or emotions expressed in written content. This information helps businesses understand customer feelings, improve products, and enhance marketing strategies. Remote sentiment analysts often collaborate with teams online and use cloud-based platforms to access and analyze large datasets. The role requires strong analytical skills, attention to detail, and proficiency with relevant software.

What are some common challenges faced by professionals working in remote sentiment analysis roles, and how can they be managed?

One of the main challenges in remote sentiment analysis roles is maintaining accuracy across diverse datasets, especially when interpreting nuanced language or cultural context. Working remotely can also make collaboration with team members and quick feedback loops more difficult. To overcome these issues, professionals often use collaborative platforms for regular communication, participate in ongoing training to stay updated on language trends, and rely on standardized annotation guidelines to ensure consistency. Being proactive in seeking feedback and sharing insights with the team greatly enhances both individual and project performance.

What are the key skills and qualifications needed to thrive as a remote sentiment analyst, and why are they important?

To thrive as a Remote Sentiment Analyst, you need a background in linguistics, data analysis, and a strong understanding of natural language processing (NLP), often supported by a degree in a related field. Familiarity with sentiment analysis tools, machine learning platforms, and data visualization software is typically required. Strong attention to detail, critical thinking, and effective written communication help analysts interpret nuanced data and present findings clearly. These skills are essential for accurately assessing sentiment in large data sets and driving actionable insights for business or research objectives.

What is the difference between Remote Sentiment Analysis vs Remote Data Labeling Specialist?

AspectRemote Sentiment AnalysisRemote Data Labeling Specialist
Required CredentialsBasic data analysis, NLP knowledgeData annotation, labeling tools familiarity
Work EnvironmentRemote, tech companies, AI/ML projectsRemote, AI/ML, data preparation teams
Industry UsageAI, NLP, customer feedback analysisMachine learning training data creation
Common Search IntentUnderstanding sentiment analysis rolesComparing data labeling jobs

Remote Sentiment Analysis involves evaluating text data to determine sentiment, often requiring NLP skills. Remote Data Labeling Specialists focus on annotating data for machine learning models, including sentiment labels. While both roles support AI development, sentiment analysis emphasizes interpreting data, whereas data labeling involves preparing data. Candidates should consider their skills and career goals when choosing between these roles.

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 job categories do people searching Remote Sentiment Analysis jobs in New York look for?

The top searched job categories for Remote Sentiment Analysis jobs in New York are:

What cities in New York are hiring for Remote Sentiment Analysis jobs?

Cities in New York with the most Remote Sentiment Analysis job openings:

Infographic showing various Remote Sentiment Analysis job openings in New York as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution.

Senior DevOps Engineer (Remote)

Moody's Analytics

New York, NY โ€ข Remote

$142K - $182K/yr

Full-time

Re-posted 13 days ago


Job description

Senior DevOps & MLOps Engineer @ Moody's [IMMEDIATE FILL]Do you have a healthy disregard for the status quo? 
Does scaling from zero to thousands get you excited?? Check this out..

We are in search of a self-motivated and versatile Senior DevOps & MLOps Engineer with the ability to work in an energetic and interactive environment. You must be a self-starter with a passion for crafting innovative software solutions. You will regularly learn and implement new technologies, and play an active role in developing, proving out, and (re)assessment of existing architectures.

JOB RESPONSIBILITIES

  • Deployment and productionisation or machine learning model applications in production.
  • Design and develop reusable Terraform and Ansible modules.
  • Lead the team in various aspects around stability, application delivery, and availability .
  • Maintain a strong security awareness through frequent assessments and software architecture design processes.
  • Influence technology selection, software architecture design, security practices and implementation.

JOB REQUIREMENTS

  • Extensive experience in DevOps engineering, team management, and collaboration.
  • Be ready, willing, and able to work in a fast-paced environment with a strong desire to run to trouble.
  • Proficiency in shell scripting, python, and HCL.
  • Knowledge and experience working with distributed systems.
  • Extensive knowledge & experience with git, linux system administration, docker, and databases including elasticsearch and/or Postgres and/or MySQL.
  • Kubernetes expert administrator with a security mindset.
  • Capable of orchestrating service delivery across over 20 distributed kubernetes clusters.
  • Extensive knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
  • Strong communication and problem-solving skills with the ability to discuss projects with colleagues who have little technical knowledge of devops techniques and tools.
  • Ability to oversee and provide significant valuable input regarding infrastructure design and maintenance.

INTERVIEW PROCESS

  1. Send us your resume, some deets on how you absolutely own kubernetes at scale, and a good joke (optional).
  2. Jump straight into a technical call with our Senior Systems Architect and maybe a lead or two for an hour or so.
  3. If you're happy and we can change the ML landscape with our bare hands let's talk about an offer!

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ABOUT MOODY'S ANALYTICS MACHINE LEARNING TEAM

We are a team that creates and delivers machine learning models and applications for the financial services industry. At a high level, an example initiative is that we ingest millions of news articles and other various data sources and process the data through pipelines to produce results such as entity recognition, sentiment analysis, credit adversity, and more.

Interested in machine learning? Take advantage of our growing team's collective knowledge and learn as you go. 
We fully embrace cross-training and continuous learning.

Employment Type: FULL_TIME