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Contract Machine Learning Qa Jobs (NOW HIRING)

... QA in the wild. We perform applied research development to adapt state-of-the-art methods or ... machine learning or related field PhD in computer vision, computer graphics, machine learning ...

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... validation and QA in the wild. You will perform applied research development to adapt ...

Provide timely support of Learning Management System, Change Control, Deviation Management Systems ... of vendors, contract manufacturers, contract laboratories, and service providers. * Support ...

NC · On-site

$40/hr

Provide timely support of Learning Management System, Change Control, Deviation Management Systems ... of vendors, contract manufacturers, contract laboratories, and service providers. * Support ...

We are seeking an earlycareer Machine Learning Engineer who is excited to grow rapidly by building ... Collaborate with crossfunctional partners including product, data engineering, DevOps & QA to ...

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 ...

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Contract Machine Learning Qa information

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How much do contract machine learning qa jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for contract 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 the difference between Contract Machine Learning Qa vs Contract Data Scientist?

AspectContract Machine Learning QaContract Data Scientist
CredentialsExperience in QA, testing, and ML model validationAdvanced degree in Data Science, Statistics, or related field
Work EnvironmentTesting labs, development teams, remote or onsiteData analysis, model development, collaborative teams
Industry UsageTech companies, AI startups, software firmsResearch institutions, tech firms, analytics companies

Contract Machine Learning Qa professionals focus on testing and validating ML models to ensure quality and performance, often working closely with development teams. Contract Data Scientists analyze data, develop models, and derive insights. While both roles require knowledge of machine learning, QA roles emphasize testing and validation, whereas Data Scientists focus on model creation and data analysis.

What cities are hiring for Contract Machine Learning Qa jobs? Cities with the most Contract Machine Learning Qa job openings:
What are the most commonly searched types of Machine Learning Qa jobs? The most popular types of Machine Learning Qa jobs are:

Quality Assurance Analyst/Conversational AI Testing

Business Technology Integrators

Adelphi, MD • On-site

Full-time

Posted 22 days ago


Job description

Business Technology Integrators (BTI) is a Service-Disabled Veteran-Owned Small Business (SDVOSB) with more than 25 years of experience delivering innovative IT solutions to the Federal Government. We are committed to excellence, innovation, and supporting mission-critical programs that serve our nation.
We are seeking a skilled Quality Assurance Analyst to join our team and support testing activities for Kore AI's conversational AI platform. The ideal candidate will have a strong background in software testing, with a focus on AI and natural language processing technologies.
Responsibilities
• Define functional and non-functional test strategies for the conversational AI platform.
• Collaborate with AI developers and product owner to design comprehensive test cases covering various user scenarios, edge cases, and potential failure points.
• Conduct rigorous testing of conversational AI models, including:
o Functional testing to verify correct behavior, assess the accuracy, relevance, and coherence of AI-generated responses.
o Performance testing to evaluate response times, system load, and resource utilization.
o Usability testing to assess the user experience and identify areas for improvement.
o Coordinate security testing with the Information Technology Security team to identify and mitigate potential vulnerabilities.
o Integration testing to ensure the product is integrated with various platforms and that data integrity is maintained between various back-end systems.
o Coordinate with cross-functional quality assurance resources to conduct end to end testing between other systems/platforms.
• Generate detailed reports on test executions, including bug reports, performance metrics, and user experience insights.
• Analyze test results to identify trends, patterns, and areas requiring improvement and work with the product owner for prioritization in the product backlog.
• Track and manage bug resolution and feature enhancements.
• Provide actionable feedback to AI developers to improve model performance, accuracy, and user satisfaction.
• Collaborate with the team to refine training data, adjust model parameters, and optimize algorithms.
• Own User Acceptance Testing (UAT) and facilitate by providing demos and test data of the product to the UAT testers.
• Keep up to date with the latest developments in conversational AI, natural language processing, and machine learning.
• Research and explore new testing methodologies and tools to enhance the QA process.
Requirements
• Bachelor's degree in computer science, information technology, or related field
• At least 5 years of experience in software testing and quality assurance methodologies.
• Knowledge of AI and machine learning concepts, particularly in natural language processing.
• Expertise in testing conversational AI or chatbot systems.
• Excellent analytical and problem-solving abilities.
• Strong communication and collaboration skills.
Preferred Qualifications
• Experience in testing Chatbots such as Microsoft Bot and Kore AI platform.
• Certifications in software testing or AI (e.g., ISTQB, AI Testing certification).