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Full Time Machine Learning Data Annotation Jobs in San Jose, CA

Sesame

Technical Program Manager, Data

San Francisco, CA · On-site

$200K - $260K/yr

... machine learning researchers and engineers. * Proven experience leading data labeling projects ... Experience managing full-time employees or contractors involved in data labeling. * Expertise in ...

General Motors

Staff ML Systems Engineer

Sunnyvale, CA · On-site

Experience with computer vision , machine learning , or data-centric AI projects - especially where data annotation, data quality, or autolabeling loops were central to the work. * Familiarity with ...

Apple

ML Data QA Lead, MLO

Cupertino, CA · On-site

Do you believe Machine Learning and AI can change how people experience technology? We truly ... We support our data collection, annotation and synthesis partners with defining quality standards ...

Apple

Algorithm Evaluation Manager

Sunnyvale, CA · On-site

Familiarity with the design and architecture of machine learning inference pipelines and underlying infrastructure. Data & Annotation: Hands-on experience designing and managing data curation ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

... stage machine learning processes. * Annotation Rigor: Drive a comprehensive and scalable data ... this full-time position is $207,000 - $304,000 + bonus + equity + benefits. Within the range ...

Tapestry

Data Science Manager

Mountain View, CA

... stage machine learning processes. * Annotation Rigor: Drive a comprehensive and scalable data ... this full-time position is $207,000 - $304,000 + bonus + equity + benefits. Within the range ...

Welo Data

Lead Gen AI Analyst

Santa Clara, CA · On-site +1

Experience leading AI, machine learning, or multimodal annotation programs. * Experience managing Q ... Basic Python, SQL, or data analysis skills are a plus.

Spark Tek Inc

Machine Learning Engineer

San Jose, CA · On-site

... training data model and annotation schema for structured outputs (intent, routing, entities ... Required : • Strong expertise in Machine Learning and Applied NLP, especially in: Text ...

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All JobsMachine Learning Data Annotation JobsFull Time Machine Learning Data Annotation JobsFull Time Machine Learning Data Annotation Jobs in San Jose, CA

Full Time Machine Learning Data Annotation information

See San Jose, CA salary details

$44K

$143.8K

$230.3K

How much do full time machine learning data annotation jobs pay per year?

As of Aug 23, 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 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 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 the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating 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:

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For Full Time Machine Learning Data Annotation jobs in San Jose, CA, the most frequently searched job titles are:

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Cities near San Jose, CA with the most Full Time Machine Learning Data Annotation job openings:

Full Time Machine Learning Data Annotation jobs near you

Data Scientist with Machine Learning and NLP

3MK Software Solutions

San Jose, CA

Full-time

Re-posted 16 hours ago

Job description

Company Description

3MK Software Solutions is the leading software service soltions provider and IT Staffing Supplier company, outsourcing and complex implementation services for the business across different functional areas and technologies with a core focus on software development and web designing development and GIS Software solutions and services. Our team is our core strength, we have selected the most skilled and talented specialists from the IT industry, and we continuously invest in developing their capabilities. The core management has many years of experience and has successfully leaded complex projects for major corporate in the field of healthcare, communication, retail and finance. During the term of these projects, the team had needed to develop an advanced implementation methodology.

Job Description

JD:
We are seeking a smart and engaged Data Scientist to work with our large data sets. As an intelligence connection & search-product oriented firm you can imagine the amount of data we're uncovering.

We need your help developing advanced mathematical and statistical models to map data and deliver web analytics.

Our product is widely utilized but is perhaps most useful in an academic and / or research capacity.

Natural Language Processing (NLP), and Machine Learning

Minimum Required Skills: R, Python, SQL, SQL, Hadoop, Algorithms, Machine Learning, Data Mining

Data Scientist - machine learning & NLP modeling

Machine learning development and deployment

advanced NLP modeling

big data framework experience (Spark, MapReduce)

Bachelor's or Master's degree in Computer Science, Statistics, or Mathematics

Develop statistical modeling techniques for pattern recognition problems.

Develop code in Python, R, and SQL, or other object oriented languages for modeling optimization, simulation, and statistical analysis.

Build models that maximize performance and accuracy

Strategic planning and project management.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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