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Machine Learning Qa Jobs in Massachusetts (NOW HIRING)

TripleTen

$40 - $80/hr

Description Nebius Academy is an international online learning platform helping engineering teams ... Our QA curriculum focuses on AI-assisted quality engineering: how to use modern AI tools to write ...

Palco

QUALITY ASSURANCE TESTER II

Boston, MA · On-site

QUALITY ASSURANCE TESTER II We're Palco. We provide the management, support, and systems behind ... Earn while you learn and continue to grow with access to internal and external learning ...

Envestnet

Lead AI Quality Assurance Engineer

Boston, MA · Hybrid

$140K/yr

Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ... Strong understanding of AI concepts, machine learning fundamentals, AI system capabilities ...

Crowe LLP

Machine Learning Intern

Boston, MA · On-site

$27 - $42/hr

... quality Python (readable, reusable, modular, and well-abstracted code) Using Linux, the terminal, and other core development tools Understanding source control (git), containerization (docker) and ...

Lowell Inc.

Quality Assurance Manager

Lowell, MA · On-site

The Quality Assurance Manager leads all operational inspection and metrology activities at Lowell ... Drive consistency in CMM methodology across machines and operators Calibration Program * Own the ...

W3Global Inc.

Quality Assurance Technician

Boston, MA

$35 - $42/hr

... highest quality seafood under a fully integrated and sustainable model from extraction to sale ... Start up of lines and machinery: commissioning of lines and machinery, carry out the assembly of ...

Bevi

Software QA Engineer

Boston, MA · Hybrid

Bevi is looking for a Software QA Engineer to join our growing engineering team. In this role, you ... Validate firmware behavior on physical machines and test hardware, including sensors, dispensing ...

XPO Logistics

Machine Learning Engineer - Hybrid

Boston, MA · On-site

$100K - $120K/yr

Experience developing data preparation, validation, or quality-checking tooling for machine learning pipelines * Proficiency in Python and SQL * Experience with cloud data or ML platforms (e.g., AWS ...

XPO

Machine Learning Engineer - Hybrid

Boston, MA · On-site

$100K - $120K/yr

Experience developing data preparation, validation, or quality-checking tooling for machine learning pipelines * Proficiency in Python and SQL * Experience with cloud data or ML platforms (e.g., AWS ...

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All JobsMachine Learning Qa JobsMachine Learning Qa Jobs in Massachusetts

Machine Learning Qa information

See Massachusetts salary details

$16

$49

$70

How much do machine learning qa jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for machine learning qa in Massachusetts is $49.01, according to ZipRecruiter salary data. Most workers in this role earn between $39.90 and $59.62 per hour, depending on experience, location, and employer.

What is a machine learning QA?

A Machine Learning QA (Quality Assurance) professional is responsible for testing and validating machine learning models to ensure accuracy, reliability, and performance. They design test cases, create automated testing pipelines, and identify biases or errors in datasets and model outputs. Their role bridges software testing and data science, ensuring that ML systems function correctly in production.

What does a machine learning QA do?

A Machine Learning QA professional is primarily responsible for designing, implementing, and executing test plans to ensure the quality and performance of machine learning models and their integration into software products. This often involves developing automated tests, validating dataset integrity, monitoring model outputs, and collaborating closely with data scientists and developers to resolve issues. Additionally, you may participate in code reviews, maintain testing documentation, and contribute to continuous improvement of testing processes. The role is collaborative and requires balancing technical rigor with practical problem-solving to help deliver robust AI-powered applications.

What skills and qualifications are needed for a machine learning QA?

Success as a Machine Learning QA requires a solid understanding of software testing principles, machine learning concepts, and programming skills, typically supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow or PyTorch, and QA automation frameworks, as well as relevant certifications in software testing or ML, are often advantageous. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for ensuring machine learning models function as intended, meet quality standards, and integrate smoothly into production environments.

What are popular job titles related to Machine Learning Qa jobs in Massachusetts?

For Machine Learning Qa jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Machine Learning Qa jobs in Massachusetts look for?

The top searched job categories for Machine Learning Qa jobs in Massachusetts are:

Machine Learning Qa jobs near you
Infographic showing various Machine Learning Qa job openings in Massachusetts as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 24% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $101,936 per year, or $49 per hour.

AI for QA Teaching Experts

On-site, Remote

TripleTen
See more jobs at TripleTenexternal

$40 - $80/hr

Part-time

Re-posted 7 days ago

Job description

Description
Nebius Academy is an international online learning platform helping engineering teams master AI and cloud technologies. We build hands-on, industry-relevant programs for B2B audiences - combining deep technical expertise with real-world application.
Our QA curriculum focuses on AI-assisted quality engineering: how to use modern AI tools to write smarter tests, automate faster, and build more reliable mobile and backend products.
Who are we looking for?
We are building a talent pool of experienced QA engineers and technical experts for ongoing roles as Instructors, Authors, and Subject Matter Experts in our AI-assisted QA educational program.
We are looking for specialists across the following areas: Kotlin, Swift, Java, Python, JavaScript/TypeScript, Mobile QA (Android / iOS), and other languages with a QA focus.
A strong candidate doesn't just know their stack deeply - they actively use AI-assisted QA tools in their daily workflow. We prioritize hands-on experience with tools such as Cursor, testRigor, Magic Inspector, Rainforest QA, AI-powered test generation, agentic workflows, MCP ecosystem integrations, or similar. The ability to teach others how to integrate these tools into real QA practice is what sets our experts apart.
These are Talent Pool positions - we continuously review applications and build our roster of experts. This means there may not be an immediate opening at the time you apply, but strong candidates will be added to our talent pool and contacted as relevant opportunities arise.
You can join us on a part-time basis (~10-15h/week), contributing as an instructor leading live sessions and workshops, as a course author creating learning materials, or as a subject matter expert supporting curriculum development. Teaching sessions are compensated separately.
Compensation: $40-80/hour, depending on experience and format of collaboration.
Our selection process is fully asynchronous and designed to respect your time:
  1. Application Review - we evaluate your profile against our current needs
  2. Async Video Interview - a short self-recorded interview (10-15 minutes max)
  3. Test Assignment - approximately 1 hour to complete
  4. Talent Pool - finalists are added to our active roster of vetted experts
  5. Hiring Manager & Tech Expert Call - once a relevant position opens, we invite you to a live interview with our team
  6. Offer - we extend an offer for a relevant position upon successful completion of the process

Apply now - we review applications on an ongoing basis.
Please submit your resume in English.
What you will do
Available Roles
We are building a talent pool of Instructors, Authors, and Subject Matter Experts for our AI-assisted QA educational programs. We hire on an ongoing basis across the following specializations:
Most in demand: AI for Manual QA, AI for Automated Testing, AI for Mobile QA (Kotlin / Android / iOS) Also relevant: other languages and QA domains
Depending on your expertise, you may:
  • Deliver live workshops and training sessions
  • Create educational content, assessments, and project-based learning materials
  • Design practical exercises, guides, prompts, and reference resources
  • Help define curriculum structure, learning objectives, and competency frameworks
  • Review content for technical accuracy and industry relevance
  • Share insights on AI tools, workflows, and emerging trends
  • Collaborate with instructional designers and curriculum teams to continuously improve learning outcomes
  • Support program updates based on learner feedback and market needs

Areas of involvement
  • Instructor - leads live sessions, workshops, and learner interactions.
  • Author - creates course content, lessons, assessments, and projects.
  • Subject Matter Expert - shapes curriculum strategy, competency frameworks, and program direction.

All roles are part-time: 10-15 hours per week.
Requirements
  • 5+ years of experience in QA Engineering, with a strong focus on mobile QA (Android/iOS), test automation, or AI-assisted quality engineering
  • Solid knowledge of one or more of the following: Kotlin, Swift, Java, Python, JavaScript/TypeScript
  • Hands-on experience with AI-assisted QA tools such as Cursor, testRigor, Magic Inspector, Rainforest QA, MCP ecosystem integrations, agentic workflows, or similar, with real implementation experience and measurable impact
  • Strong ability to share knowledge through content creation, training, mentoring, or facilitation, making complex QA concepts clear, practical, and engaging for learners
  • Ability to work independently with strong ownership and minimal supervision
  • Strong attention to detail
  • Availability to collaborate within European time zones
  • Ability to dedicate approximately 10-15 hours per week
  • Fluent English (written and spoken); Russian or Spanish is a strong plus
  • Background in QA advocacy, tech leadership, mentoring, conference speaking, or technical community engagement is a plus

Nice-to-have
  • Strong expertise in QA Engineering, Test Automation, or AI-assisted Quality Engineering
  • Ability to evaluate real-world AI/QA tools, testing architectures, and workflows, distinguishing practical approaches from hype
  • Experience creating competency maps, skill frameworks, learning roadmaps, or curriculum structures
  • Ability to review technical learning content and provide structured feedback

What we can offer you
  • The opportunity to create impactful content while maintaining your primary job: Share your expertise without leaving your current role
  • Competitive hourly rate of $40-$85 USD for flexible part-time collaboration with significant impact and an amazing team!
  • Remote cooperation with a schedule convenient for both you and the team: We don't focus on micromanagement
  • Cross-cultural experience: Become part of an international team and connect with professionals from diverse backgrounds
  • Meaningful impact: Share your knowledge and help experienced engineers advance their skills through high-quality educational content
  • Participation in innovative projects: Contribute to shaping the future of programming education and AI adoption
  • Professional growth: Receive feedback and develop your skills as a technical content creator and thought leader

Apply