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Freelance Machine Learning Qa Jobs (NOW HIRING)

... machine-learning-informed quality reviews. • Collaborate with Training and Operations teams to address quality trends and identify skill gaps, using AI insights to guide decision-making and ...

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The Brilent team brings together deep experience in machine learning, and data science from leading ... As a QA Engineer Intern, you will work alongside our small team of engineers to develop new ...

QA QC Supervisor

Plano, TX · On-site

$58.09K - $76.44K/yr

The QA/QC Supervisor leads a team of Quality Analysts and Coordinators to ensure high service ... Ensure consistency in evaluation through calibration sessions and machine-learning-informed quality ...

Ideally, contributors will have: * 5+ years of hands-on machine learning experience with proven business impact * Portfolio of completed projects and publications showcasing real-world problem ...

Quality Manager Harper, Kansas Cox Machine, headquartered in Wichita Kansas, is a leading ... Provide training, learning and development where appropriate for all employees * Provide training ...

Exposure to AI-powered testing tools or machine learning concepts in QA Benefits * Competitive salary and comprehensive benefits. * Company stock options. * Health, dental, and vision insurance to ...

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

As of May 30, 2026, the average hourly pay for freelance machine learning qa in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Machine Learning Qa jobs? The most popular types of Machine Learning Qa jobs are:
Machine Learning Engineer, Factory Vision Systems

Machine Learning Engineer, Factory Vision Systems

Tesla

Fremont, CA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

Job Summary:
Tesla is seeking a highly skilled Machine Learning Engineer to join their factory software machine learning and computer vision team. The role involves designing, developing, and deploying production-grade ML models for visual inspection, defect detection, and process monitoring across factory and warehouse environments.
Responsibilities:
• Design, develop, and implement computer vision and machine learning models for factory and warehouse applications, including defect detection, visual inspection, process monitoring, and quality assurance using techniques like object detection, segmentation, and anomaly detection
• Build end-to-end ML pipelines from data collection and labeling through training, evaluation, and deployment across diverse factory environments
• Work with diverse, heterogeneous datasets combining multiple modalities including images, multi-spectral sensor outputs, video, text, and tabular data to build scalable solutions
• Take ownership of production models, ensuring robust monitoring, drift detection, and alerting systems for rapid issue resolution
• Collaborate with cross-functional teams in production, process engineering, controls, and quality to translate ambiguous problem statements into actionable, end-to-end machine learning solutions
• Perform model validation and benchmarking to ensure models maintain high accuracy and reliability in real-world factory conditions
• Follow agile development practices and maintain high standards for clean, modular, and sustainable production-ready code
Qualifications:
Required:
• In-depth knowledge of Python for high-performance, data-intensive applications
• Proficiency with at least one modern deep learning framework such as PyTorch, TensorFlow, or JAX
• Expertise in computer vision, including convolutional neural networks, object detection, segmentation, and image classification
• Experience processing and cleaning large-scale, multi-modal datasets (images, multi-spectral sensor data, video, tabular data)
• Foundational knowledge of statistics for model comparison, experiment design, and assessing solution feasibility and performance
• Real-world experience deploying and maintaining production machine learning systems, including monitoring and alerting
• Strong communication skills with the ability to translate technical results for non-technical stakeholders
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Tesla employees say

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