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Remote Sentiment Analysis Jobs in Texas (NOW HIRING)

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 / ...

Osano

Strategic Customer Success Manager

Austin, TX · Remote

Analyze product usage and customer data to inform strategy * Identify trends, risks, and ... A fully and permanently remote company so you can work from anywhere in the U.S. * Receive a ...

Blue Cross of Idaho

Technical Product Manager

Meridian, TX · On-site +1

$148.10K - $171.20K/yr

Hybrid or remote work schedule may be supported in a mutually agreeable location. To be considered ... Research and analyze market conditions and identify key consumer trends and opportunities for ...

Momentus

Digital Customer Success Specialist

Austin, TX · On-site +1

You'll be comfortable analyzing performance data, iterating on programs, and collaborating cross ... Monitor community health metrics and report on growth, activity, and sentiment Customer Webinars

Osano

Strategic Customer Success Manager

Austin, TX · Remote

Analyze product usage and customer data to inform strategy * Identify trends, risks, and ... A fully and permanently remote company so you can work from anywhere in the U.S. * Receive a ...

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All JobsRemote Sentiment Analysis JobsRemote Sentiment Analysis Jobs in Texas

Remote Sentiment Analysis information

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 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 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.

What are popular job titles related to Remote Sentiment Analysis jobs in Texas? For Remote Sentiment Analysis jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Sentiment Analysis jobs in Texas look for? The top searched job categories for Remote Sentiment Analysis jobs in Texas are:
What cities in Texas are hiring for Remote Sentiment Analysis jobs? Cities in Texas with the most Remote Sentiment Analysis job openings:
Remote Sentiment Analysis jobs near you

Senior Product Manager

Krest Global Solutions

Dallas, TX • On-site, Remote

$50 - $60/hr

Contractor

Posted 4 hours ago

Job description

Job Title: Senior Product Manager

Location : Hybrid

Compensation : 50-60$/Hr on C2C/1099

Work Authorization: GC, USC

Position Summary

We are seeking a seasoned Senior Product Manager to lead the strategic migration of our legacy contact center platforms (e.g., Avaya) to Amazon Connect, with a specific focus on healthcare payer operations. This role will be responsible for delivering scalable, cloud-native, and intelligent contact center solutions that enhance member and provider engagement, improve operational efficiency, and ensure compliance with healthcare industry standards.

The ideal candidate will have a strong background in healthcare payer environments, deep experience with contact center technologies, and a proven ability to drive digital transformation initiatives in regulated industries.

Key Responsibilities

· Lead the end-to-end migration of legacy contact center systems (e.g., Avaya, Cisco) to Amazon Connect, from discovery and planning through execution and rollout.

· Define and execute the product strategy and roadmap for contact center modernization, aligning with enterprise goals, user needs, and compliance requirements.

· Collaborate with IT, telephony/voice infrastructure teams, business operations, clinical teams, and customer service leadership to define functional and technical requirements.

· Serve as the primary voice of the customer (members, providers, internal users) in developing contact center features, IVR flows, routing logic, and integration with downstream systems (e.g., CRMs, case management tools, claims systems).

· Evaluate and optimize customer journeys across voice and digital channels (chat, SMS, email), ensuring seamless and empathetic support experiences.

· Leverage AWS ecosystem tools (e.g., Lex, Lambda, Connect Flows, Contact Lens) to enable smart routing, automation, sentiment analysis, and real-time analytics.

· Develop and track key KPIs and performance metrics (e.g., average handle time, NPS, first call resolution, abandonment rates) to ensure quality and efficiency.

· Own vendor relationships, contracting, and governance for telephony, transcription, workforce management, and analytics tools.

· Champion agile methodologies, backlog prioritization, and sprint execution across cross-functional teams.

· Drive change management, training, and adoption strategies across operational teams to ensure successful platform transition.

Required Qualifications

· 7+ years of product management experience, with at least 3 years leading initiatives in contact center platforms or voice automation within a healthcare payer setting.

· Strong understanding of healthcare call center operations, including member services, provider support, care management, and utilization review.

· Proven experience with Amazon Connect migration projects, including integration with AWS services, telephony architecture, and IVR design.

· Solid knowledge of HIPAA, PHI handling, and security best practices in cloud communications.

· Experience with voice UX, IVR design, and contact center reporting/analytics.

· Strong business and technical acumen with the ability to translate complex requirements into clear user stories and product features.

· Demonstrated success influencing cross-functional teams, executive stakeholders, and vendor partners.

· Expertise in agile frameworks, especially SAFe or Scrum, and tools like JIRA, Confluence, and Productboard. Education

· Bachelor’s degree in Computer Science, Information Systems, Healthcare Administration, or related field required.

· Master’s degree or certifications in Product Management, Cloud Technologies (especially AWS), or Healthcare IT preferred.

Preferred Experience

· Direct experience with Amazon Connect, Avaya, Genesys, or Cisco telephony platforms and their migration to cloud-based environments.

· Knowledge of CRM platforms (e.g., Salesforce, ServiceNow) and their integration into contact center ecosystems.

· Experience designing omnichannel strategies across voice, chat, and digital self-service.

· Familiarity with workforce management tools and quality assurance processes for contact centers.

· Experience managing cross-market rollouts in multi-state health plans or Blue Cross organizations.

Job Type: Full-Time Location: US (Remote/Hybrid – Preferred locations: Brillio Offices or St. Louis, MO) Industry: Healthcare / Health Insurance / Digital Transformation / Cloud Contact Centers