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Remote Quality Assurance Engineer Jobs in Rochester, NY

AI Solutions Engineer

Rochester, NY · Remote

$120K - $150K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What this ... Analyze client data landscapes, evaluating data readiness, quality, and accessibility for AI ...

AI Solutions Engineer

Rochester, NY · On-site +1

$120K - $150K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What this ... Analyze client data landscapes, evaluating data readiness, quality, and accessibility for AI ...

Supports programming changes during optimization, quality assurance, user acceptance testing, and post implementation to ensure integrity of web based deliverable. * Manages relationship with IT by ...

Epic Denials Management Operator

Rochester, NY · Remote

$17.75 - $23.75/hr

Position Summary Join Deloitte's AI & Engineering practice to support hospital denials management ... This is a primarily remote role supporting enterprise Epic support, with minimal travel and ...

Meticulous attention to detail and quality of work product * Ability to build and sustain ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Meticulous attention to detail and quality of work product * Ability to build and sustain ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Meticulous attention to detail and quality of work product * Ability to build and sustain ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Showing results 41-60

Remote Quality Assurance Engineer information

See Rochester, NY salary details

$18

$47

$77

How much do remote quality assurance engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote quality assurance engineer in Rochester, NY is $47.90, according to ZipRecruiter salary data. Most workers in this role earn between $37.69 and $54.81 per hour, depending on experience, location, and employer.

What is the difference between Remote Quality Assurance Engineer vs Remote Software Tester?

AspectRemote Quality Assurance EngineerRemote Software Tester
CredentialsQA certifications, understanding of testing methodologiesBasic testing knowledge, sometimes certifications
Work EnvironmentCollaborates with development teams, involved in planningExecutes test cases, reports bugs
Industry UsageUsed across software, web, and app development companiesPrimarily in software and app development firms
Search/Comparison IntentInterested in QA roles with broader responsibilitiesLooking for testing-specific roles

While both roles focus on software quality, a Remote Quality Assurance Engineer typically has broader responsibilities, including planning and process improvement, whereas a Remote Software Tester mainly executes tests and reports bugs. The QA Engineer often requires certifications and a deeper understanding of testing strategies, making it a more comprehensive role in the software development lifecycle.

How do remote quality assurance engineers typically collaborate with development teams to ensure product quality?

Remote Quality Assurance Engineers often use a combination of collaborative tools, such as project management software, version control systems, and virtual meeting platforms, to stay aligned with developers and product managers. Regular communication is key—daily stand-ups, sprint planning, and bug triage meetings help ensure everyone is aware of testing progress and any critical issues. Engineers are expected to proactively share test results, report defects clearly, and participate in code reviews or product demos. This close collaboration helps maintain high product quality despite the remote work setup.

What does a remote quality assurance engineer do?

A Remote Quality Assurance (QA) Engineer is responsible for testing software products to ensure they meet specified requirements and are free from defects. Working remotely, they design, execute, and document test cases, report bugs, and collaborate with development teams to resolve issues. They use various testing tools and frameworks to automate and streamline the testing process. QA Engineers play a crucial role in delivering high-quality software and improving user satisfaction, all while working from a location outside of the traditional office.

What are the key skills and qualifications needed to thrive as a remote quality assurance engineer?

To thrive as a Remote Quality Assurance Engineer, you need a solid understanding of software testing methodologies, bug tracking, and quality standards, typically supported by a degree in computer science or related field. Familiarity with test automation tools (like Selenium, JUnit, or Cypress), defect management systems (such as Jira), and possibly ISTQB certification are commonly required. Strong attention to detail, effective communication, and self-motivation are essential soft skills for excelling in a remote work environment. These skills and qualifications ensure software reliability, efficient workflow, and seamless collaboration across distributed teams.

Is a remote quality assurance engineer still in demand?

Remote quality assurance engineers are in continued demand due to the growth of software development and the need for thorough testing. Skills in automation tools, scripting, and familiarity with testing frameworks enhance job prospects in this field.

Can a remote quality assurance engineer work remotely?

Yes, a remote quality assurance engineer can work remotely, as many companies offer this role with flexible location options. The job typically involves testing software, writing test cases, and using tools like test management software and automation frameworks, which can be done from any location with internet access.
What are the most commonly searched types of Quality Assurance Engineer jobs in Rochester, NY? The most popular types of Quality Assurance Engineer jobs in Rochester, NY are:
What are popular job titles related to Remote Quality Assurance Engineer jobs in Rochester, NY? For Remote Quality Assurance Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What cities near Rochester, NY are hiring for Remote Quality Assurance Engineer jobs? Cities near Rochester, NY with the most Remote Quality Assurance Engineer job openings:

AI Solutions Engineer

Innovative Solutions

Rochester, NY • Remote

$120K - $150K/yr

Full-time

Posted 6 days ago


Job description

We are seeking an AI Solutions Engineer to lead client AI initiatives from discovery through production deployment. You will partner with clients to identify high-impact Generative AI use cases, evaluate data readiness, and rapidly build proof-of-concept applications that demonstrate tangible business value. You will design and implement production-ready AI solutions leveraging Amazon Bedrock, foundation models, RAG pipelines, and AI agent frameworks such as LangChain and LlamaIndex. As a client-facing technologist, you will translate business requirements into technical architecture recommendations and guide clients on AI/ML best practices.

Location: This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter

What this role is responsible for:

AI Assessment & Discovery

  • Participate in client discovery workshops and technical interviews to identify and prioritize high-impact GenAI use cases
  • Analyze client data landscapes, evaluating data readiness, quality, and accessibility for AI solutions
  • Rapidly design and build proof-of-concept (POC) applications and live demonstrations that validate AI use cases and illustrate business value to client stakeholders
  • Translate discovery findings into technical specifications, architecture recommendations, and implementation plans
  • Present POC results and assessment recommendations to client teams, building confidence and momentum for production investments

GenAI Solution Development

  • Design and implement production-ready Generative AI applications using Amazon Bedrock, Anthropic Claude, and other foundation models
  • Build and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (Weaviate, OpenSearch, Pinecone)
  • Develop AI agents and multi-agent orchestration systems using frameworks like LangChain, LlamaIndex, or custom implementations
  • Create conversational AI interfaces with natural language understanding, intent detection, and context management
  • Implement prompt engineering strategies, few-shot learning, and fine-tuning approaches for domain-specific applications
 

Client Engagement & Delivery

  • Translate business requirements into technical specifications and suggested implementation plans
  • Provide technical guidance and recommendations to clients on AI/ML best practices
  • Document architecture decisions, code, and deployment suggestions

What makes someone successful in this role:

  • You have a proven track record delivering production AI applications from concept to deployment
  • You excel at conducting technical discovery and assessment work, including stakeholder workshops and use-case identification
  • You can build proof-of-concept applications and live demonstrations that communicate technical concepts to non-technical audiences
  • You have excellent problem-solving skills and the ability to work independently with minimal supervision
  • You possess strong written and verbal communication skills for client-facing interactions
  • You are passionate about Generative AI and stay current with the latest developments in LLMs, agents, and AI frameworks

Requirements:

  • 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
  • 2+ years of hands-on AWS experience with production deployments
  • 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
  • AWS Certifications: Solutions Architect Associate/Professional, Machine Learning Specialty, or Developer Associate (preferred)
  • Background in healthcare, financial services, or regulated industries with understanding of compliance requirements (HIPAA, PCI-DSS, SOC 2) (preferred)
  • Contributions to open-source AI/ML projects or published technical content (preferred)
  • Experience with multi-tenant SaaS architectures and data isolation patterns (preferred)
  • Knowledge of cost optimization strategies for AI workloads (model selection, caching, batching) (preferred)
  • Familiarity with frontend frameworks (React, Angular) for building AI-powered UIs (preferred)
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.