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Freelance Machine Learning Qa Jobs (NOW HIRING)

Machine Learning Engineer

Seattle, WA · On-site

$171K - $302K/yr

... 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 ...

... 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 ...

Applied Machine Learning Engineer | Music Software (Multiple Roles open) Role: Applied Machine ... QA, A/B testing and so on. • Maintain production-ready code with considerations for how ...

QA Analyst

Greenbelt, MD · On-site

$60K - $70K/yr

... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of ... Position Overview As a Quality Assurance (QA) Analyst, you will be a key member of the Data ...

Machine Learning Engineer

Sunnyvale, CA · On-site

$147K - $272K/yr

... 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 ...

Defines and advances the adoption of AI and machine learning capabilities within QA, including intelligent test generation, predictive defect analysis, and self-healing automation. * Partners with ...

Machine Learning Engineer

Manhattan, NY · Remote

$154K/yr

Generate high-quality training datasets that demonstrate proficient tool use and systematic problem ... Freelance autonomy with the substance of meaningful, high-impact technical work * Gain rare, hands ...

Defines and advances the adoption of AI and machine learning capabilities within QA, including intelligent test generation, predictive defect analysis, and self-healing automation. * Partners with ...

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 ...

... 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 ...

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

$58K - $76K/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 ...

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Freelance Machine Learning Qa information

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

As of Jun 20, 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:
Senior Machine Learning Engineer, Video Quality Systems

Senior Machine Learning Engineer, Video Quality Systems

Apple

Cupertino, CA • On-site

$109K - $148K/yr

Full-time

Posted 29 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Apple's Camera ISP Algorithm team is looking for dedicated engineers to shape the future of photography and video across all Apple products. You'll work on powerful camera technology, image signal processing, and machine learning, literally defining what makes an Apple camera better. As part of the Camera ISP Algorithm team, you'll have real creative freedom to innovate and iterate quickly, interacting directly with silicon design, camera HW/SW, and QA teams. If you're a self-starter who wants to see your ideas go from concept to product, this is your chance to make an impact on how people capture life's most meaningful moments!
As a Senior Machine Learning Engineer, you will tackle one of the most persistent challenges in video technology: reliably measuring perceived visual quality at scale. While human expert evaluation remains the gold standard for accuracy, it is resource-intensive and slow. Conversely, traditional automated metrics offer speed, but often fail to correlate meaningfully with human perception.You will be an expert in designing a hybrid evaluation framework. By leveraging large-scale outsourced subjective data, you will characterize the boundaries of existing automated metrics and inject domain and "world knowledge" to apply them only where they are statistically reliable. Ultimately, your goal will be to design and tune novel, explainable metrics. We are explicitly looking for an approach grounded in first principles of signal processing and human vision, rather than relying on opaque, "black-box" machine learning models that simply output a quality score. Your work will directly accelerate our core engineering efforts by providing developers with rapid, trustworthy, and actionable feedback.
MS in Machine Learning, Computer Science, Applied Mathematics, or a related discipline and minimum 10 years relevant industry experience. Demonstrated experience on Image/Video Quality Assessment (IQA/VQA), image processing, or computational vision.Track record in statistical analysis, correlation methodologies, and data modeling.Proficiency in algorithm architecture design and implementation.
PhD in Machine Learning, Computer Science, Applied Mathematics, or a related discipline.Experience managing or scaling outsourced/crowdsourced subjective evaluation campaigns (e.g., using ITU-T standards).Track record of developing explainable, non-black-box algorithms for image or video analysis.Proven experience designing, conducting, and analyzing psycho-physical or psycho-visual experiments for subjective quality evaluation.Demonstrated knowledge of the human visual system (HVS), perceptual artifacts, and traditional signal processing, evidenced through publications, coursework, or applied project work.Working knowledge with modern video processing pipelines, compression standards, and enhancement algorithms.Strong publication record in relevant venues (e.g., VQEG, ICIP, HVEI, SPIE) or equivalent industry patents.Ability to translate complex perceptual phenomena into clear, actionable engineering requirements, as demonstrated through technical writing, presentations, or cross-functional collaboration.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976