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Home Based Machine Learning Qa Jobs (NOW HIRING)

CXApp, Inc

QA Engineer - AI and Data

San Ramon, CA · On-site

... -anywhere' world for employees, partners, customers, and visitors. We take pride in the way we ... Strong understanding of AI concepts, algorithms, and machine learning models. * Proficiency in ...

Abercrombie

Manager, Quality Assurance

Columbus, OH · Remote

The Manager, Quality Assurance is responsible for leading Home Office-based quality strategy, cross-functional QA execution, and vendor quality accountability across assigned product categories ...

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

Familiarity with CNN-based machine learning architectures, e.g., ResNet, Yolo, U-Net * Experience working with images from medical, security, or NDT devices * Experience defining data science ...

S27a

$140 - $210/hr

... quality user experience. Specific duties include: * Research, design, and implement machine ... and LLM based planning and tool use, and translate it into practical enterprise solutions.

Membersuite

Quality Assurance Engineer

Dunwoody, GA

We believe in world domination - or go home. What Do We Need? We are looking for an extremely ... Our employees don't want to be a cog in a machine; they want to drive the business forward. They ...

Medium

$160 - $190/hr

Identify, collect, clean, and organize data from diverse sources to construct high-quality datasets ... Duties and responsibilities may change based on business needs. $160,000 - $190,000 a year The base ...

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How much do home based machine learning qa jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for home based machine learning qa in the United States is $46.70, according to ZipRecruiter salary data. Most workers in this role earn between $29.81 and $62.02 per hour, depending on experience, location, and employer.

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Quality Assurance Engineering Lead

Meta

Burlingame, CA

$163K/yr

Full-time

Posted 24 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

Meta is seeking a Quality Assurance Test Engineer to drive product quality strategy across large-scale consumer and platform products. In this role, you will define and lead quality assurance frameworks, establish testing methodologies, and partner with engineering, product, and data science teams to ensure that Meta's products meet the highest standards of reliability, performance, and user experience. You will apply deep expertise in test architecture, automation, and quality systems to influence product roadmaps and shape how quality is built into the development lifecycle at scale.
Quality Assurance Engineering Lead Responsibilities:
  • Define and drive the quality assurance strategy and testing roadmap for large-scale product areas, aligning cross-functional teams around shared quality objectives
  • Architect and implement scalable test automation frameworks covering functional, regression, integration, and end-to-end testing across web and mobile platforms
  • Identify systemic quality gaps through root cause analysis and implement corrective interventions that improve overall product reliability and test coverage
  • Partner with engineering, product management, and data science teams to embed quality practices early in the development lifecycle, including requirements review and risk-based test planning
  • Establish and monitor quality metrics, test coverage signals, and release health indicators to inform go/no-go decisions and communicate quality posture to leadership
  • Lead the evaluation and adoption of AI-integrated testing workflows, including using AI tools to accelerate test generation, defect triage, and coverage analysis
  • Coach and guide other engineers on test design principles, automation best practices, and quality-first development approaches
  • Proactively identify high-impact quality risks across multiple product teams and drive mitigation strategies that reduce customer-facing defects
  • Contribute to organizational quality standards and processes, influencing how quality engineering is practiced across teams and product areas
  • Manage staged rollout validation using feature flagging and A/B testing frameworks to assess product quality in production environments

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in quality assurance test engineering, including test strategy definition, test automation architecture, and release quality validation for consumer-facing or platform products
  • 8+ years of experience designing and implementing scalable test automation frameworks across functional, integration, regression, and end-to-end testing domains
  • Experience leading cross-functional quality initiatives, influencing engineering and product teams on quality standards, risk assessment, and testing methodologies
  • Experience analyzing quality metrics, defect trends, and test coverage data to drive measurable improvements in product reliability and release confidence
  • Experience with feature flagging systems, staged rollout validation, and production quality monitoring as part of a continuous delivery pipeline

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience defining quality assurance strategy for mobile platforms (iOS and Android) at scale, including device fragmentation and platform-specific testing challenges
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated track record of building quality engineering programs or centers of excellence that raised quality standards across multiple product teams
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience applying AI or machine learning tools to accelerate test generation, defect classification, or coverage gap analysis in a software quality context
  • Experience with performance testing, load testing, or chaos engineering methodologies to validate product reliability under real-world conditions

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$163,000/year to $224,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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