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Remote Sentiment Analysis Jobs in Washington, DC

System One

GENAI CCAS Application Developer

Washington, DC · Remote

$56.23 - $62/hr

Remote (Quarterly Travel to Gaithersburg, MD) Hours: 40.0 Security Clearance: Ability to obtain a ... sentiment analysis, and redaction. * Configure Amazon Q in Connect domains, knowledge sources ...

System One

AI Engineer

Washington, DC · Remote

$41.85/hr

Washington, DC (Remote) Type: Contract Compensation: $41.85/HR on W2 Security Clearance: Public ... sentiment analysis, and NLP problems like text categorization, topic modeling, entity extraction ...

Analytica

Data Scientist - NLP

Washington, DC · On-site +1

... analyze challenging public sector problems. This position is fully remote. This is a temporary ... Recognition, Sentiment Analysis, and/or Topic Modeling * At least four years of experience ...

Analytica

Data Scientist - NLP

Washington, DC · Remote

... analyze challenging public sector problems. This position is fully remote. This is a temporary ... Recognition, Sentiment Analysis, and/or Topic Modeling * At least four years of experience ...

All JobsSentiment Analysis JobsRemote Sentiment Analysis JobsRemote Sentiment Analysis Jobs in Washington, DC

Remote Sentiment Analysis information

See Washington, DC salary details

$94.6K

$143.9K

$193.7K

How much do remote sentiment analysis jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote sentiment analysis in Washington, DC is $143,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $162,500.00 per year, depending on experience, location, and employer.

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 Washington, DC?

The most popular types of Sentiment Analysis jobs in Washington, DC are:

What are popular job titles related to Remote Sentiment Analysis jobs in Washington, DC?

For Remote Sentiment Analysis jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Sentiment Analysis jobs in Washington, DC look for?

The top searched job categories for Remote Sentiment Analysis jobs in Washington, DC are:

Remote Sentiment Analysis jobs near you
Infographic showing various Remote Sentiment Analysis job openings in Washington, DC as of July 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% Remote job distribution, with an average salary of $143,875 per year, or $69.2 per hour.

GENAI CCAS Application Developer

Washington, DC • Remote

System One
Business Consulting Services • 5 - 10K employees
Learn more about System Oneexternal

$56.23 - $62/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago

Job description

Job Title: GEN AI CCAS Application Developer Location: Washington, DC Type: Contract To Hire Compensation: $56.23 - $62.00 per hour Work Model: Remote (Quarterly Travel to Gaithersburg, MD) Hours: 40.0 Security Clearance: Ability to obtain a Public Trust Clearance

Overview

This is a cloud application development role focused on building and enhancing AI-powered contact center solutions using Amazon Connect, Amazon Lex, Amazon Bedrock, and AWS serverless technologies. The developer will create intelligent customer service experiences by integrating conversational AI, agent assist tools, analytics, and Retrieval-Augmented Generation (RAG) capabilities.

Responsibilities

  • Build, update, and maintain Amazon Connect contact flows, routing profiles, and queues to support both voice and chat channels.
  • Integrate Lex V2 bots into Amazon Connect flows for call deflection, self-service transactions, and escalation.
  • Enable and configure Contact Lens for real-time and post-contact analytics, transcription, summarization, sentiment analysis, and redaction.
  • Configure Amazon Q in Connect domains, knowledge sources, guided workflows, and step-by-step agent assist experiences.
  • Implement S3-based call and chat transcript storage with encryption, lifecycle policies, and retention compliance.
  • Write AWS Lambda (Python) functions to orchestrate Bedrock LLM calls, embeddings workflows, and model invocation logging.
  • Implement OpenSearch indexing, vector/keyword queries, and knowledge synchronization triggers.
  • Build retrieval-augmented generation (RAG) pipelines to enhance Amazon Connect agent assist and self-service knowledge.
  • Apply structured logging, unit/integration tests, error handling, and performance/cost safeguards.
  • Implement AI guardrails, prompt templates, and output evaluation for safety and accuracy.
  • Enforce PII minimization and redaction policies in Amazon Connect conversation logs.
  • Participate in threat modeling and support remediation of findings for contact center integrations.
  • Support CloudFront + WAF configurations for secure web chat entry points.
  • Build APIs and event hooks to pass conversation context between web chat, Amazon Connect, and AI services.
  • Contribute to Git-based CI/CD pipelines, document workflows, and maintain runbooks, architecture diagrams, and SOPs.
  • Create and monitor CloudWatch dashboards/alarms for call deflection rate, AHT, contact resolution, and AI usage metrics.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field and 2–4 years of relevant experience; or a Master’s with 2+ years of software development with Python, including building and troubleshooting AWS Lambda functions.
  • Hands-on experience with Amazon Connect setup and configuration, including contact flows, routing profiles, queues, and channel integration (voice, chat).
  • Experience integrating Lex V2 bots with Amazon Connect flows.
  • Familiarity with conversational AI design, including slot elicitation, error recovery, and safe fallback patterns.
  • Infrastructure as Code experience (CloudFormation) and Git-based CI/CD workflows.
  • Foundational security knowledge: least privilege IAM, encryption at rest (KMS), and secure logging/monitoring.
  • Strong written and verbal communication; able to document designs and explain technical choices to teammates.

Preferred Qualifications

  • Practical exposure to full Amazon Connect deployments, including telephony setup, contact attributes, and queue performance optimization.
  • Experience enabling and tuning Contact Lens for compliance, sentiment analysis, and post-contact QA scoring.
  • Experience with Amazon Q in Connect for agent assist workflows and knowledge retrieval.
  • Experience with Amazon Bedrock (LLM and embeddings) and guardrails; calling LLM APIs and prompt engineering.
  • Knowledge of Retrieval Augmented Generation (RAG) and vector search; AWS OpenSearch Service configuration (VPC only, KMS) and k-NN/HNSW indices.
  • Familiarity with KMS key policies, grants, and cross-account access; S3 data protection (BPA, lifecycle, access points).
  • Experience with AWS WAF, CloudFront, and edge security patterns.
  • Observability and analytics skills: CloudWatch dashboards/alarms, X-Ray, Athena/Glue.
  • Understanding of privacy and compliance considerations (PII redaction, data retention), and familiarity with FISMA and FedRAMP concepts as applied to contact centers.
  • Certifications (any of): AWS Developer Associate, AWS Solutions Architect Associate/Professional, AWS AI Specialty, AWS DevOps Engineer, CISSP/CCSP.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M-M2 #LI-HJA

Ref: #851-Rockville-S1

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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