The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will ...
The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will ...
W2 Full-Time Employee Must have valid work authorization in the US (Welocalize does not sponsor ... Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
Quick apply
W2 Full-Time Employee Must have valid work authorization in the US (Welocalize does not sponsor ... Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
Technical Program Manager, Data Engine
Redwood City, CA · On-site
$157K - $204K/yr
They are seeking a Technical Program Manager, Data Engine to manage data annotation and collection projects, ensuring high-quality data delivery for machine learning experiments. Responsibilities ...
Technical Program Manager, Data Engine
Redwood City, CA · On-site
$157K - $204K/yr
They are seeking a Technical Program Manager, Data Engine to manage data annotation and collection projects, ensuring high-quality data delivery for machine learning experiments. Responsibilities ...
Data Annotation Analyst
San Francisco, CA · On-site
$71K - $89K/yr
Perform quality control and labeling for images used for machine learning (ML) models * Manage a ... Benefits Summary (USA Full-Time Exempt Employees): * Medical, Dental, Vision, Disability, and Life ...
Data Annotation Analyst
San Francisco, CA · On-site
$71K - $89K/yr
Perform quality control and labeling for images used for machine learning (ML) models * Manage a ... Benefits Summary (USA Full-Time Exempt Employees): * Medical, Dental, Vision, Disability, and Life ...
W2 Full-Time Employee Must have valid work authorization in the US (Welocalize does not sponsor ... Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
Quick apply
W2 Full-Time Employee Must have valid work authorization in the US (Welocalize does not sponsor ... Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
Machine Learning - Data Scientist
$150K - $277K/yr
The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will ...
Machine Learning - Data Scientist
$150K - $277K/yr
The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will ...
Policy & Quality Specialist- ML Perception Data
Mountain View, CA · On-site
$152K - $160K/yr
... focus on machine learning data annotation, taxonomy design, or human-in-the-loop workflows ... The expected base salary range for this full-time position is listed below. Actual starting pay ...
Policy & Quality Specialist- ML Perception Data
Mountain View, CA · On-site
$152K - $160K/yr
... focus on machine learning data annotation, taxonomy design, or human-in-the-loop workflows ... The expected base salary range for this full-time position is listed below. Actual starting pay ...
Technical Program Manager, Data Engine
Redwood City, CA · On-site
$157K - $204K/yr
... data annotation or data collection. This role is about designing and rolling out tasks to our ... You'll work in coordination with Machine Learning, Software engineering, and Data to define the ...
Technical Program Manager, Data Engine
Redwood City, CA · On-site
$157K - $204K/yr
... data annotation or data collection. This role is about designing and rolling out tasks to our ... You'll work in coordination with Machine Learning, Software engineering, and Data to define the ...
Description As Senior Manager of QA for Data Annotation, you will own the end-to-end quality assurance strategy for annotation pipelines that feed directly into Apple's AI and machine learning models.
Description As Senior Manager of QA for Data Annotation, you will own the end-to-end quality assurance strategy for annotation pipelines that feed directly into Apple's AI and machine learning models.
Data Scientist
$184K - $324K/yr
You will collaborate closely with algorithm engineers, machine learning researchers, QA, annotation ... Description As a Data Scientist focused on Algorithm Evaluation, you will serve as a technical ...
Data Scientist
$184K - $324K/yr
You will collaborate closely with algorithm engineers, machine learning researchers, QA, annotation ... Description As a Data Scientist focused on Algorithm Evaluation, you will serve as a technical ...
Data Scientist
Sunnyvale, CA · On-site
You will collaborate closely with algorithm engineers, machine learning researchers, QA, annotation ... Description As a Data Scientist focused on Algorithm Evaluation, you will serve as a technical ...
Data Scientist
Sunnyvale, CA · On-site
You will collaborate closely with algorithm engineers, machine learning researchers, QA, annotation ... Description As a Data Scientist focused on Algorithm Evaluation, you will serve as a technical ...
Machine Learning Data Scientists
San Francisco, CA · On-site
$174K - $193K/yr
... data analysis and modeling. - Strong communication skills across technical, non-technical, and ... learning architectures and probabilistic models. - Experience in modern generative AI, such as ...
Machine Learning Data Scientists
San Francisco, CA · On-site
$174K - $193K/yr
... data analysis and modeling. - Strong communication skills across technical, non-technical, and ... learning architectures and probabilistic models. - Experience in modern generative AI, such as ...
Data Annotator / Geospatial Annotation Specialist
South San Francisco, CA · On-site
$82K - $92K/yr
The Data Annotator / Geospatial Annotation Specialist plays a critical role in the creation of high ... In addition to dataset creation, the Specialist will learn core machine learning concepts and gain ...
Data Annotator / Geospatial Annotation Specialist
South San Francisco, CA · On-site
$82K - $92K/yr
The Data Annotator / Geospatial Annotation Specialist plays a critical role in the creation of high ... In addition to dataset creation, the Specialist will learn core machine learning concepts and gain ...
Machine Learning Engineer
San Francisco, CA · On-site
$100K - $150K/yr
The Opportunity As a Machine Learning Engineer, you'll work on multimodal perception, VLA training ... annotation, dataset QA, and robotics evaluation * Publish research on multimodal data by fine ...
Machine Learning Engineer
San Francisco, CA · On-site
$100K - $150K/yr
The Opportunity As a Machine Learning Engineer, you'll work on multimodal perception, VLA training ... annotation, dataset QA, and robotics evaluation * Publish research on multimodal data by fine ...
W2 Full-Time Employee Must have valid work authorization in the US (Welocalize does not sponsor ... Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
W2 Full-Time Employee Must have valid work authorization in the US (Welocalize does not sponsor ... Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
Description As Senior Manager of QA for Data Annotation, you will own the end-to-end quality assurance strategy for annotation pipelines that feed directly into Apple's AI and machine learning models.
Description As Senior Manager of QA for Data Annotation, you will own the end-to-end quality assurance strategy for annotation pipelines that feed directly into Apple's AI and machine learning models.
Sr. Machine Learning Engineer, Siri Global
$184K - $324K/yr
We build machine learning models, systems, and software that understands the intents hundreds of ... Preferred Qualifications Experience in data science and analytics, including data annotation ...
Sr. Machine Learning Engineer, Siri Global
$184K - $324K/yr
We build machine learning models, systems, and software that understands the intents hundreds of ... Preferred Qualifications Experience in data science and analytics, including data annotation ...
Sr. Machine Learning Engineer, Siri Global
Cupertino, CA · On-site
$151K - $199K/yr
We build machine learning models, systems, and software that understands the intents hundreds of ... data annotation, statistical analyses, A/B testing, and/or conducting experiments and ...
Sr. Machine Learning Engineer, Siri Global
Cupertino, CA · On-site
$151K - $199K/yr
We build machine learning models, systems, and software that understands the intents hundreds of ... data annotation, statistical analyses, A/B testing, and/or conducting experiments and ...
Technical Program Manager III
Mountain View, CA · On-site
$152K - $197K/yr
... annotation programs that power our cutting-edge AI research initiatives. This role sits at the ... Computer Science, Data Science, Machine Learning, Information Systems) or equivalent practical ...
Technical Program Manager III
Mountain View, CA · On-site
$152K - $197K/yr
... annotation programs that power our cutting-edge AI research initiatives. This role sits at the ... Computer Science, Data Science, Machine Learning, Information Systems) or equivalent practical ...
Data Operations Engineer
Mountain View, CA · On-site
$136K - $163K/yr
Preferred : • Experience with multimodal datasets (text, image, video, audio, or 3D). • Familiarity with data annotation, labeling workflows, or dataset preparation for machine learning. • ...
Data Operations Engineer
Mountain View, CA · On-site
$136K - $163K/yr
Preferred : • Experience with multimodal datasets (text, image, video, audio, or 3D). • Familiarity with data annotation, labeling workflows, or dataset preparation for machine learning. • ...
Full Time Machine Learning Data Annotation information
See San Jose, CA salary details
$44K - $60.9K
2% of jobs
$60.9K - $77.8K
3% of jobs
$77.8K - $94.8K
6% of jobs
$94.8K - $111.7K
9% of jobs
$117.2K is the 25th percentile. Wages below this are outliers.
$111.7K - $128.7K
15% of jobs
The median wage is $139.9K / yr.
$128.7K - $145.6K
22% of jobs
$154.9K is the 75th percentile. Wages above this are outliers.
$145.6K - $162.5K
32% of jobs
$162.5K - $179.5K
3% of jobs
$179.5K - $196.4K
4% of jobs
$196.4K - $213.4K
1% of jobs
$213.4K - $230.3K
2% of jobs
$44K
$143.8K
$230.3K
How much do full time machine learning data annotation jobs pay per year?
As of Aug 7, 2026, the average yearly pay for full time machine learning data annotation in San Jose, CA is $143,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,400.00 and $159,400.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a full time machine learning data annotation specialist, and why are they important?
To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.
What is a full time machine learning data annotation job?
Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.
What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?
Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.
What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?
| Aspect | Full Time Machine Learning Data Annotation | Data Labeling Specialist |
|---|---|---|
| Credentials | High school diploma or equivalent; some roles prefer technical certifications | High school diploma or equivalent; training often provided on the job |
| Work Environment | Office or remote; collaborative with data science teams | Remote or office; focused on labeling tasks |
| Industry Usage | Used across AI/ML companies, tech firms, and startups | Common in AI/ML, data services, and outsourcing companies |
| Job Focus | Creating labeled datasets for machine learning models | Annotating data such as images, videos, or text for AI training |
Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.
What are the most commonly searched types of Machine Learning Data Annotation jobs in San Jose, CA? The most popular types of Machine Learning Data Annotation jobs in San Jose, CA are:
What are popular job titles related to Full Time Machine Learning Data Annotation jobs in San Jose, CA? For Full Time Machine Learning Data Annotation jobs in San Jose, CA, the most frequently searched job titles are:
- Senior Data Engineering
- Contract Google Data Analyst
- Freelance Junior Data Scientist
- Mobile Data Analyst Ai
- Freelance Machine Learning Data Annotation
- Freelance Data Labeling Analyst
- Appen Artificial Intelligence Data Annotation
- Excel Data Cleaning
- Afternoon Data Visualization Consultant
- Remote Data Analyst Spanish
What job categories do people searching Full Time Machine Learning Data Annotation jobs in San Jose, CA look for? The top searched job categories for Full Time Machine Learning Data Annotation jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Full Time Machine Learning Data Annotation jobs? Cities near San Jose, CA with the most Full Time Machine Learning Data Annotation job openings:
Apple rating
8.0
Based on 677 frontline employees who took The Breakroom Quiz
7th of 30 rated technology retailers
Job description
Do you have a passion for computer vision and solving deep learning problems? The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems.
This role will play a critical part in crafting robust evaluation frameworks, using both traditional statistical methods and modern techniques like LLM-as-a-Judge! The ideal candidate combines strong analytical thinking, expertise in Python, and advanced knowledge of statistical methodologies and data quality standards.
This role involves collaboration with teams at Apple passionate about developing foundation models, including ML engineers, data scientists, and ML Infrastructure engineers to deliver amazing user experiences!
Description
Develop robust methodologies to assess the performance of foundation models (e.g., LLMs, vision-language models, etc.) across diverse tasks.
Leverage LLMs as judges to perform subjective and open-ended model evaluations (e.g., for summarization, reasoning, or multimodal generation tasks).
Build, curate, and lead evaluation datasets and benchmarks.
Advanced proficiency in at least one scripting language, preferably Python.
Collaborate with research, engineering, and product teams to define evaluation goals aligned with user experience and product quality.
Conduct failure analysis and uncover edge cases to improve model robustness.
Contribute to our tools and infrastructure to automate and scale evaluation processes.
Minimum Qualifications
BS and a minimum of 3 years relevant industry experience
Strong experience in evaluating supervised, unsupervised, and deep learning models.
Hands-on experience evaluating LLMs and using them as scoring/judging mechanisms.
Familiarity with multimodal models (e.g., image + text, video + audio) and related evaluation challenges.
Proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow.
Solid understanding of statistical testing, sampling, confidence intervals, and metrics (e.g., precision/recall, BLEU, ROUGE, FID, etc.).
Strong documentation skills, including the ability to write technical reports and present to non-technical audiences.
Preferred Qualifications
Experience working with open-source evaluation tools like OpenEval, ELO-based ranking, or LLM-as-a-Judge frameworks.
Familiarity with prompt engineering, few-shot or zero-shot evaluation techniques.
Experience evaluating generative models (e.g., text generation, image generation).
Prior contributions to ML benchmarks or public evaluations.
Strong interpersonal skills.
This role will play a critical part in crafting robust evaluation frameworks, using both traditional statistical methods and modern techniques like LLM-as-a-Judge! The ideal candidate combines strong analytical thinking, expertise in Python, and advanced knowledge of statistical methodologies and data quality standards.
This role involves collaboration with teams at Apple passionate about developing foundation models, including ML engineers, data scientists, and ML Infrastructure engineers to deliver amazing user experiences!
Description
Develop robust methodologies to assess the performance of foundation models (e.g., LLMs, vision-language models, etc.) across diverse tasks.
Leverage LLMs as judges to perform subjective and open-ended model evaluations (e.g., for summarization, reasoning, or multimodal generation tasks).
Build, curate, and lead evaluation datasets and benchmarks.
Advanced proficiency in at least one scripting language, preferably Python.
Collaborate with research, engineering, and product teams to define evaluation goals aligned with user experience and product quality.
Conduct failure analysis and uncover edge cases to improve model robustness.
Contribute to our tools and infrastructure to automate and scale evaluation processes.
Minimum Qualifications
BS and a minimum of 3 years relevant industry experience
Strong experience in evaluating supervised, unsupervised, and deep learning models.
Hands-on experience evaluating LLMs and using them as scoring/judging mechanisms.
Familiarity with multimodal models (e.g., image + text, video + audio) and related evaluation challenges.
Proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow.
Solid understanding of statistical testing, sampling, confidence intervals, and metrics (e.g., precision/recall, BLEU, ROUGE, FID, etc.).
Strong documentation skills, including the ability to write technical reports and present to non-technical audiences.
Preferred Qualifications
Experience working with open-source evaluation tools like OpenEval, ELO-based ranking, or LLM-as-a-Judge frameworks.
Familiarity with prompt engineering, few-shot or zero-shot evaluation techniques.
Experience evaluating generative models (e.g., text generation, image generation).
Prior contributions to ML benchmarks or public evaluations.
Strong interpersonal skills.
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