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Machine Learning Qa Jobs (NOW HIRING)

Medlytix

QA Engineer

Roswell, GA · On-site

Experience testing machine learning models, agentic data flows and data-intensive applications ... Experience mentoring junior QA engineers What You'll Work With: Languages: Python, SQL, JavaScript ...

Medlytix

QA Engineer

Roswell, GA · Remote

... machine learning models, agentic data flows and data-intensive applicationsTechnical SkillsStrong proficiency in Python for test automationHands-on experience with testing frameworks: pytest ...

Oxefit Inc

Be Seen First

QA Tester

Plano, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Based on experience As a QA Tester , you will play a key role in ensuring the quality and ... Experience testing AI-powered applications, machine learning features, or conversational AI ...

Archer Daniels Midland

Success requires reliability, attention to detail, and a commitment to learning core QA practices while escalating issues promptly to supervisors. This individual will be fully cross trained in all ...

Medlytix

QA Engineer

Roswell, GA · On-site

Experience testing machine learning models, agentic data flows and data-intensive applications ... Experience mentoring junior QA engineers What You'll Work With: Languages: Python, SQL, JavaScript ...

Oxefit Inc

Be Seen First

QA Tester

Plano, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Based on experience As a QA Tester , you will play a key role in ensuring the quality and ... Experience testing AI-powered applications, machine learning features, or conversational AI ...

Unissant

Machine Learning Engineer

Ashburn, VA · On-site

$112K - $177K/yr

We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA ... Work closely with product managers, developers, designers, and QA teams within a large Agile ...

SMX

Cleared Hybrid QA Tester/Engineer (5416)

Hanover, MD · On-site +1

$86K - $123K/yr

  • Medical

  • Retirement

  • PTO

SMX is seeking a QA Tester/Engineer to ensure the quality, reliability, and performance of ... Test and validate AI-enabled applications, machine learning integrations, and large language model ...

Allegiance Staffing

Quality Assurance

Cary, NC

$18.50/hr

Quality Assurance Employment Type: Full-Time Location: Cary, NC Pay: $18.50 per hour Schedule ... This role identifies training needs, delivers effective learning programs, evaluates employee ...

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Machine Learning Qa information

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How much do machine learning qa jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for machine learning qa in the United States is $44.87, according to ZipRecruiter salary data. Most workers in this role earn between $36.54 and $54.57 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.

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Machine Learning Qa jobs near you
Infographic showing various Machine Learning Qa job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $93,338 per year, or $44.9 per hour.

QA Engineer

Medlytix

Roswell, GA • On-site

Full-time

Posted 12 days ago

Job description

We're seeking an innovative QA Engineer to join our team. This role goes beyond traditional testing - you'll be at the forefront of using automation frameworks and AI-powered tools to ensure the quality, reliability, and performance of our AI solutions. You'll work closely with AI Integration engineers and software developers to build robust testing strategies that handle the unique challenges of AI systems, including model validation, data quality, and non-deterministic outputs.

Key Responsibilities

Test Automation Development

  • Design, develop, and maintain automated test frameworks using Python and modern testing tools
  • Build end-to-end test suites for APIs, data pipelines, and AI model/MCP endpoints
  • Implement continuous testing practices integrated with CI/CD pipelines
  • Create reusable test libraries and utilities to accelerate testing across projects

AI-Assisted Testing

  • Leverage AI tools (like GitHub Copilot, ChatGPT, or dedicated test generation tools) to accelerate test case creation and code reviews
  • Explore and implement AI-powered testing solutions for test data generation, visual testing, and anomaly detection
  • Experiment with automated test scenario generation using LLMs
  • Use AI tools for log analysis and defect pattern recognition

AI-Specific Testing

  • Develop testing strategies for LLMs including performance, accuracy, and bias detection
  • Test data quality, feature engineering pipelines, and model training workflows
  • Validate model output and monitor for model drift in production
  • Create test datasets that cover edge cases and ensure model robustness

Quality Strategy & Collaboration

  • Define and implement QA best practices and quality metrics for AI products
  • Collaborate with developers to identify testability requirements early in the development cycle
  • Perform code reviews focused on test coverage and quality
  • Document test strategies, test cases, and quality reports

Performance & Security Testing

  • Conduct load and performance testing for AI inference endpoints
  • Identify bottlenecks in data processing and model serving infrastructure
  • Participate in security testing activities focusing on data privacy and model security

Required Qualifications

Education & Experience

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 3-5 years of experience in software quality assurance and test automation
  • Proven experience building and maintaining automation frameworks from scratch
  • Experience testing cloud-based applications and APIs
  • Experience testing machine learning models, agentic data flows and data-intensive applications

Technical Skills

  • Strong proficiency in Python for test automation
  • Hands-on experience with testing frameworks: pytest, unittest, Selenium, or similar
  • Experience with API testing tools: Postman, REST Assured, or Python requests
  • Knowledge of CI/CD tools: GitLab CI, GitHub Actions
  • Familiarity with version control systems (Git)
  • Understanding of SQL and database testing (incl. Data Lake architectures)
  • Experience with containerization (Docker) and orchestration tools
  • Experience with AI-powered testing tools or test generation platforms
  • Experience with cloud platforms: AWS, Azure, or GCP
  • Understanding of microservices architecture and distributed systems
  • Experience with workflow orchestration tools (Airflow, Temporal, Prefect, n8n)
  • Experience mentoring junior QA engineers

What You'll Work With:

Languages: Python, SQL, JavaScript/TypeScript, YAML
Data Tools: Airflow, dbt, Spark, Polars, pyArrow
APIs & Integration: FastAPI, GraphQL, Kafka, Redis, Javascript/Typescript, WASM
AI/ML: OpenAI API, Pydantic AI, Anthropic Claude, LangChain, vector databases, MCP protocol
Cloud: AWS (Lambda, S3, RDS, Bedrock, SageMaker) or equivalent in GCP/Azure
Infrastructure: Docker, Kubernetes, Terraform, GitHub Action


As part of our commitment to quality and excellence, Medlytix will continue to maintain a safe and healthy environment for you by requiring all applicants to submit to a criminal history check and those tentatively selected for a position to submit to screening for illegal drug use prior to appointment for a job. In addition, applicants may be screened for ability to perform essential functions of some positions.

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