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Online Annotation Jobs in California (NOW HIRING)

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine learning, natural language processing, learning-to-rank, online learning, deep learning ... Coordinate data collection and annotation efforts. * Work with real-time data and content coming ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine learning, natural language processing, learning-to-rank, online learning, deep learning ... Coordinate data collection and annotation efforts. * Work with real-time data and content coming ...

City of Fremont, CA

Plans Examiner

Fremont, CA · On-site

$125K - $152K/yr

A resume and supplemental questionnaire (part of the online application) must be submitted with the ... and annotation symbols; and elements of supervision. Skill in: Reading and interpreting building ...

All JobsOnline Annotation JobsOnline Annotation Jobs in California

Online Annotation information

See California salary details

$38.5K

$44.4K

$48.9K

How much do online annotation jobs pay per year?

As of Jul 31, 2026, the average yearly pay for online annotation in California is $44,410.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $46,900.00 per year, depending on experience, location, and employer.

What is an Online Annotation job?

An Online Annotation job involves labeling or tagging data such as images, text, audio, or video to help train machine learning models. Annotators follow specific guidelines to ensure accuracy and consistency in the data. These jobs are crucial in AI development, improving the quality of automated systems like image recognition, speech processing, and natural language understanding. Many online annotation jobs are remote and require attention to detail, basic computer skills, and sometimes domain-specific knowledge.

What are some common challenges faced by Online Annotation professionals, and how can they be managed?

A common challenge in Online Annotation is maintaining accuracy and consistency across large volumes of data, especially when guidelines are complex or frequently updated. To address this, professionals often need to regularly review instructions and participate in feedback sessions or quality audits provided by their employer. Staying organized, managing workload efficiently, and asking for clarification when uncertain can help minimize errors. Employers may provide training sessions or support forums to help annotators improve their skills and keep up-to-date with best practices.

What are the key skills and qualifications needed to thrive in the Online Annotation position, and why are they important?

To excel in Online Annotation, strong attention to detail, proficiency in data labeling, and a solid understanding of guidelines for data quality are essential, often requiring at least a high school diploma or equivalent. Familiarity with annotation platforms, database tools, and sometimes basic knowledge of machine learning concepts is advantageous. Reliability, time management, and the ability to follow specific instructions set apart top performers in this role. These skills are crucial for providing high-quality, consistent data that supports training and validation of AI systems.

What are the most commonly searched types of Annotation jobs in California? The most popular types of Annotation jobs in California are:
What are popular job titles related to Online Annotation jobs in California? For Online Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Online Annotation jobs in California look for? The top searched job categories for Online Annotation jobs in California are:
What cities in California are hiring for Online Annotation jobs? Cities in California with the most Online Annotation job openings:
Online Annotation jobs near you
Infographic showing various Online Annotation job openings in California as of July 2026, with employment types broken down into 29% Locum Tenens, 34% Full Time, 26% Part Time, 2% Contract, 8% Nights, and 1% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution, with an average salary of $44,410 per year, or $21.4 per hour.

Machine Learning Engineer

NTENT

Carlsbad, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

Machine Learning Engineer
Position: Full time
Location: Carlsbad office
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
  • Design, implement, and deploy machine learning algorithms.
  • Manage machine learning algorithm lifecycle.
  • Coordinate data collection and annotation efforts.
  • Work with real-time data and content coming from various data sources.
  • Manage machine learning data pipelines.
  • Design tests for machine learning algorithm effectiveness and performance monitoring.
  • Design tools and interfaces for interactive machine learning and teaching.
  • Research and development on cutting-edge machine learning technologies.
Qualifications and Skills:
  • Graduate degree in Computer Science with a strong background in machine learning required.
  • Strong problem-solving abilities, solid background in algorithms and data structures required.
  • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
  • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
  • Experience with building and deploying API's with Docker and Kubernetes required.
  • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
  • Experience with Elastic Search, Lucene a plus but not required.
  • Experience with ranking algorithms a plus but not required.
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.

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