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Remote Sentiment Analysis Jobs (NOW HIRING)

MSPbots

Head of Product

Chicago, IL · Remote

$238K - $249K/yr

Remote (US-based only) Work Schedule: Flexiblewith regular meetings across PH, US, and China teams ... sentiment analysis. * Support ongoing AI projects and future AI initiatives, ensuring they are ...

ArcSpan Media

Director/VP, Data Product

Manhattan, NY · 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.

Krest Global Solutions

Senior Product Manager

Dallas, TX · On-site +1

$50 - $60/hr

... automation, sentiment analysis, and real-time analytics. · Develop and track key KPIs and ... US (Remote/Hybrid - Preferred locations: Brillio Offices or St. Louis, MO) Industry: Healthcare / ...

Anysphere, Inc

Data Analyst, User Operations

Engineering • Full-time • Remote Apply Our mission is to automate coding. The first step in our ... performance, customer sentiment, and product signal into the dashboards and analysis that ...

USAA

Data Scientist Senior

Plano, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Embedding, Sentiment Analysis, Text Classification, and Topic Modeling * LLM Experience: Use LLM ...

Mercor

Investment Analyst - Fully Remote

New York, NY · Remote

$105 - $200/hr

Strong intuition for market sentiment, narratives, and behavioral patterns. * Comfort using ... Familiarity with technical analysis, financial statements, or macroeconomic indicators. * Prior ...

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Remote Sentiment Analysis information

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$83.5K

$127K

$171K

How much do remote sentiment analysis jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote sentiment analysis in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

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 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 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.

More about Remote Sentiment Analysis jobs
What cities are hiring for Remote Sentiment Analysis jobs? Cities with the most Remote Sentiment Analysis job openings:
What are the most commonly searched types of Sentiment Analysis jobs? The most popular types of Sentiment Analysis jobs are:
What states have the most Remote Sentiment Analysis jobs? States with the most job openings for Remote Sentiment Analysis jobs include:
What job categories do people searching Remote Sentiment Analysis jobs look for? The top searched job categories for Remote Sentiment Analysis jobs are:
Remote Sentiment Analysis jobs near you

Head of Product

MSPbots

Chicago, IL • Remote

$238K - $249K/yr

Full-time

Posted 11 days ago

Job description

Salary:

HEAD OF PRODUCT
Strategic + hands-on leadership of our full AI & BI product portfolio


Work Setup: Remote (US-based only)
Work Schedule: Flexiblewith regular meetings across PH, US, and China teams


ROLE OVERVIEW
We are seeking a strong, hands-on Head of Product to lead the product function at MSPBots. You will own the end-to-end lifecycle of our AI-powered and BI productsfrom ideation through launch, iteration, and commercial scale. This is both a strategic and execution-heavy role: you will build and refine our product development and implementation process while driving measurable revenue growth across new and existing MSP clients.


Your portfolio spans our Business Intelligence Dashboards, Micro Training Bots, Next Ticket, Integrations, Featured Apps, and a growing pipeline of AI-powered productsincluding ticket triage, ticket QA, and sentiment analysisat various stages from production to alpha launch to future roadmap.


KEY RESPONSIBILITIES
Revenue-Driven Product Leadership

  • Own product revenue outcomesdriving both new revenue acquisition and client retention through product value delivery.
  • Define and pursue ARR targets tied to product launches, feature adoption, and upsell opportunities across the MSP client base.
  • Partner with Sales and Marketing to align product positioning, packaging, and pricing with revenue goals.
  • Identify expansion opportunities within the existing client base by deepening product adoption and launching complementary features.

Product Strategy & Roadmap

  • Define and own the product roadmap across all product lines: BI Dashboards, Micro Training Bots, Next Ticket, Integrations, Featured Apps, and AI-powered apps.
  • Balance short-term commercial priorities (live products, alpha launches) with long-term strategic bets (future AI initiatives).
  • Make clear prioritization calls across a mixed portfolioproduction support, active launches, and future developmentensuring the team is focused on the highest-impact work.

Product Process Build & Refine

  • Architect and implement a scalable product development and implementation process, from discovery and scoping through QA, release, and post-launch review.
  • Establish frameworks for MVP definition, alpha/beta launch management, client feedback loops, and iteration cycles.
  • Ensure the product team operates with clarity, velocity, and consistency across all stages of the product lifecycle.

Team Leadership

  • Lead, coach, and grow a product team of PMs and BAs, setting clear expectations, priorities, and performance standards.
  • Foster a culture of ownership, client-centricity, and data-driven decision-making within the product org.
  • Serve as the connective tissue between Engineering, Data Science, Design, Sales, and Marketing.

AI Product Development & Support

  • Drive the development, alpha launch, and scaling of AI-powered products, including ticket triage, ticket QA, and sentiment analysis.
  • Support ongoing AI projects and future AI initiatives, ensuring they are built with clear use cases, success metrics, and a path to revenue.
  • Stay current on AI/ML trends, GenAI capabilities, and the competitive landscape to inform product direction.

Client-Centric Execution

  • Engage directly with MSP clients to validate product value, gather requirements, and close feedback loops.
  • Ensure all productsespecially new AI launchesdeliver measurable, demonstrable value that justifies adoption and renewal.
  • Oversee documentation, onboarding materials, and training support to enable client success at scale.

Performance & Reporting

  • Define KPIs for each product line tied to revenue, adoption, retention, and client satisfaction.
  • Report product performance regularly to the CEO with clear insights, risks, and recommendations.
  • Use data to drive prioritization decisions and communicate tradeoffs with confidence.


QUALIFICATIONS
Required

  • 5+ years of product management experience, with at least 12 years in a product leadership or senior PM role.
  • Demonstrated success taking AI/ML or GenAI-powered products from concept through launch and commercial scale.
  • Strong track record of contributing to revenue growth through productswhether through new launches, upselling, or retention.
  • Must have successfully released at least one AI product to production or commercial use
  • Experience building or significantly improving product development processes in a scaling environment.
  • Strong technical acumencomfortable working closely with engineering and data science teams.
  • Excellent communication and stakeholder management skills, with the ability to align cross-functional teams across the US, China, and the Philippines.
  • Analytical mindset with a data-driven approach to decision-making and prioritization.
  • Proven ability to manage a mixed portfoliobalancing live products, active launches, and future-state planning simultaneously.
  • Experience working in agile environments with multiple competing priorities.


NICE TO HAVE
MSP/IT services industry Azure OpenAI or AWS AI Usage-based billing models

BI/Analytics products B2B SaaS



Ready to build something that changes how MSPs operate? We'd love to hear from you.