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Remote Quality Engineer Jobs in Houston, TX (NOW HIRING)

AI/ML Engineer - Remote

Houston, TX ยท Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

Senior Software Engineer (Remote)

Houston, TX ยท Remote

$117K - $154K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Lead the design and delivery of high-quality security features that improve our products and ...

Remote Job Overview We are seeking experienced Backend Java Developers to support a high-impact ... Strong backend engineering expertise and the ability to deliver high-quality technical solutions ...

Engineer V

Houston, TX ยท On-site +1

Our quality engineering, sustainable solutions and safety record inspire everything we do. Our diverse and inclusive workforce allows for all employees to feel valued and safe to give their opinions ...

New

Substation Design Engineer

Houston, TX ยท Remote

$100K - $128K/yr

Hybrid/Remote Substation Electrical Engineer - Grid Mid to Senior Level | Electrical Power ... Coordinate closely with designers, engineers, and cross-discipline teams to ensure high-quality ...

Substation Design Engineer

Houston, TX ยท Remote

$100K - $128K/yr

Hybrid/Remote Substation Electrical Engineer - Grid Mid to Senior Level | Electrical Power ... Coordinate closely with designers, engineers, and cross-discipline teams to ensure high-quality ...

SCADA Engineer - Level 2

Houston, TX ยท Remote

$105K - $125K/yr

Remote SCADA ENGINEER - LEVEL 2 Hanwha Qcells USA Corp (Qcells USA), headquartered in Houston, TX, ... Qcells is renowned worldwide for its high-performance, superior-quality solar cells and modules.

Showing results 41-60

Remote Quality Engineer information

See Houston, TX salary details

$43K

$80.3K

$113.6K

How much do remote quality engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote quality engineer in Houston, TX is $80,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,800.00 and $88,800.00 per year, depending on experience, location, and employer.

What is a remote quality engineer?

A Remote Quality Engineer is responsible for ensuring the quality and reliability of products or services while working remotely. They develop and execute test plans, identify defects, and collaborate with development teams to improve processes. Their role may involve automation testing, performance testing, or software validation, depending on the industry. Strong analytical skills, attention to detail, and knowledge of quality assurance methodologies are essential.

What does a remote quality engineer do?

A typical day for a Remote Quality Engineer involves reviewing requirements, designing and executing test cases, logging defects, and collaborating with developers and product managers via virtual meetings and online tools. You may also spend time analyzing test results, automating repetitive tests, and verifying bug fixes in different environments. Communication is key, so regular updates and status reports are often shared through team platforms like Slack or Jira. This role is dynamic and may require adapting to evolving project priorities while maintaining high-quality deliverables.

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

To thrive as a Remote Quality Engineer, you need a solid background in quality assurance principles, software testing methodologies, and a relevant engineering or computer science degree. Familiarity with automated testing frameworks (like Selenium or JUnit), defect tracking systems, and certifications such as ISTQB or Six Sigma are often expected. Exceptional problem-solving abilities, attention to detail, self-motivation, and effective remote communication skills set top candidates apart. These capabilities are vital for maintaining product quality, collaborating across distributed teams, and ensuring continual process improvement from a distance.

Can remote quality engineers work from home?

Remote quality engineers can work from home, as many companies allow this role to be performed virtually. They typically use tools like test management software, collaboration platforms, and require strong communication skills to coordinate with teams remotely.

Is a remote quality engineer still in demand?

Remote quality engineers are in high demand as companies prioritize software quality and remote work flexibility. Skills in automation tools, testing frameworks, and continuous integration are especially valuable in this role, which often requires collaboration across distributed teams.

Is there a demand for a remote quality engineer?

There is strong demand for remote quality engineers across various industries, as companies seek professionals skilled in testing, automation tools, and quality assurance processes. The role often requires knowledge of programming, testing frameworks, and certifications like ISTQB, with many organizations offering flexible remote work arrangements.

What are the most commonly searched types of Quality Engineer jobs in Houston, TX?

The most popular types of Quality Engineer jobs in Houston, TX are:

What job categories do people searching Remote Quality Engineer jobs in Houston, TX look for?

The top searched job categories for Remote Quality Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Remote Quality Engineer jobs?

Cities near Houston, TX with the most Remote Quality Engineer job openings:

Infographic showing various Remote Quality Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 56% Full Time, 17% Part Time, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $80,255 per year, or $38.6 per hour.

AI/ML Engineer - Remote

YO AI Labs

Houston, TX โ€ข Remote

$200 - $350/hr

Full-time

Posted 9 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.