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Full Time Machine Learning Data Annotation Jobs in Los Angeles, CA

Escalon

Machine Learning Engineer

Santa Monica, CA · On-site

$100K - $120K/yr

  • Medical

  • PTO

Full-Time | Santa Monica, CA | On-Site About Our Client Our client is a technology company ... Develop encoding and embedding techniques that allow consistent comparison across multiple data ...

thatgamecompany

Senior Machine Learning Engineer

Los Angeles, CA · Remote

$120K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In this role, you will be a driving force behind our core ML models and underlying data and ... Machine Learning, Data Engineering, or a related quantitative field, with a track record of ...

Absurd Ventures

Senior Machine Learning Engineer

Santa Monica, CA · On-site +1

$165K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build pipelines that train on gameplay data and deploy models optimized for real-time inference ... Description * Full-time job with benefits. * Role is on-site in Santa Monica, CA. * Office is ...

Match Group

Machine Learning Engineer II

Los Angeles, CA · On-site

$105K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will work closely with product, engineering, data, and platform partners to translate product ... As a full-time employee, you'll enjoy: * Flexible Vacation, 10 Sick Days * Time off to volunteer ...

Skyworks

Sr. Data Scientist

Irvine, CA

$114K - $220K/yr

  • Medical

  • Retirement

  • PTO

Requisition ID: 77724 Description Skyworks Solutions is seeking a Machine Learning and Data Engineer to join our rapidly growing AI/ML team in Irvine, CA. This is a highly technical, hands-on role ...

Match Group

Machine Learning Engineer II

Los Angeles, CA · On-site +1

$145K - $165K/yr

You will work closely with product, engineering, data, and platform partners to translate product ... As a full-time employee, you'll enjoy: * Flexible Vacation, 10 Sick Days * Time off to volunteer ...

Match Group

Machine Learning Engineer II

Los Angeles, CA · On-site +1

$105K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will work closely with product, engineering, data, and platform partners to translate product ... As a full-time employee, you'll enjoy: * Flexible Vacation, 10 Sick Days * Time off to volunteer ...

Booz Allen Hamilton

Machine Learning Engineer

El Segundo, CA

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience with data handling and model development * Experience with leveraging AI productivity ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsMachine Learning Data Annotation JobsFull Time Machine Learning Data Annotation JobsFull Time Machine Learning Data Annotation Jobs in Los Angeles, CA

Full Time Machine Learning Data Annotation information

See Los Angeles, CA salary details

$40.4K

$132.3K

$211.7K

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

As of Aug 13, 2026, the average yearly pay for full time machine learning data annotation in Los Angeles, CA is $132,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $146,500.00 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?

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 Los Angeles, CA?

The most popular types of Machine Learning Data Annotation jobs in Los Angeles, CA are:

What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Los Angeles, CA?

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

What job categories do people searching Full Time Machine Learning Data Annotation jobs in Los Angeles, CA look for?

The top searched job categories for Full Time Machine Learning Data Annotation jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Full Time Machine Learning Data Annotation jobs?

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

Full Time Machine Learning Data Annotation jobs near you

Machine Learning Engineer - Computer Vision & NLP

Voxelcloud

Los Angeles, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Company Description

Founded in 2016, VoxelCloud is a Los Angeles-based leader worldwide in artificial intelligence (AI) analysis of medical images.  Backed by Sequoia and Tencent.  We help healthcare providers make better/earlier diagnoses and other clinical decisions.  http://www.voxelcloud.ai

Job Description

The R&D team (located in Los Angeles, CA) is involved with creating innovative solutions using deep learning tailored to the needs of the product lines (Thorax/Retina/Cardio/Skin). We are currently hiring a full-time engineer to join our model team.

Responsibilities:

  • Develop deep learning models for prototyping and production purposes according to product feature request
  • Design, implement and test model experiments using major deep learning frameworks
  • Document experiments findings and results with supporting summary statistics for peer discussion and review (Confluence)
  • Provide insights to data collection and annotation and collaborate with the data team for in-house data management and labelling
  • Write production and deployment code (dockerization), iterate deployed models for optimal performance and inference speed
  • Conduct methodology research in deep learning to drive scalable, real-time implementation
Qualifications

Basic Qualifications

  • MS degree in computer science, engineering, or mathematics
  • 1+ years of relevant experience in building deep learning solutions for computer vision problems
  • 1+ years of relevant experience in building deep learning solutions for NLP problems
  • Proficient with at least one major deep learning framework, preferably TensorFlow/Pytorch
  • Proficient in Python
  • Good CS fundamentals in data structures and algorithm
  • Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and be challenged
  • Work well in teams and communicate ideas clearly

Preferred Qualifications

  • PhD degree in computer science, engineering, or mathematics
  • 3+ years of relevant experience in building deep learning solutions for computer vision problems
  • 2+ years of relevant experience in building deep learning solutions for NLP problems
  • Hands-on experience with Transformers, Bert, and other advanced NLP models
  • Hands-on experience with state-of-the-art object detection, semantic segmentation, and image classification models
  • Track record of publications in CV and NLP is a plus
  • Hands-on experience with model optimization (e.g., network quantization and half-precision training) is a plus
  • Prior experience with medial images is a plus
  • Prior experience with medial report mining is a BIG plus
Additional Information

We Offer...   

  • An outstanding start-up culture;  
  • Transparent, collaborative work environment; 
  • Competitive compensation
  • Excellent Medical, Dental, and Vision coverage
  • 401k, paid Vacation and Holiday

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

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