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Home Based Remote Annotation Jobs in California (NOW HIRING)

Tele Nurse Practitioner

Orange, CA · On-site +1

$120K - $140K/yr

The Role Transform home-based care-from wherever you are. As Circadia's full-time tele visit NP, you'll conduct remote assessments for home health patients, act on predictive health signals in real ...

Senior Full Stack Engineer

San Francisco, CA · On-site +1

$149K - $198K/yr

Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

... Systems annotation Type: Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

... Systems annotation Type: Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

Continuously improve sourcing strategies based on data; identify which channels produce the best ... annotation -- delivering the datasets that frontier AI research requires and remote workforce ...

Network Engineer

San Francisco, CA · Remote

$50 - $70/hr

... Systems annotation Type: Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

Senior AI/ML Engineer

Sunnyvale, CA · On-site +1

$124K - $170K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... data-annotation pipelines and machine-led training data solutions at foundation-model scale . We ...

Senior AI/ML Engineer

Sunnyvale, CA · On-site +1

$124K - $170K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... data annotation (pre‑labeling, autolabeling, active learning loops), helping us move from ...

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Showing results 1-20

Home Based Remote Annotation information

What are some common challenges faced by home-based remote annotation professionals, and how can they be addressed?

One of the most common challenges in home-based remote annotation roles is maintaining focus and accuracy over long periods, especially when working on repetitive tasks. Distractions at home and lack of immediate support from colleagues can also impact productivity. To address these challenges, it's helpful to establish a dedicated workspace, set regular work hours, and take scheduled breaks to reduce fatigue. Utilizing communication tools to stay connected with team members and seeking feedback can further enhance performance and ensure high-quality annotations.

What is the difference between Home Based Remote Annotation vs Data Labeler?

AspectHome Based Remote AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic skills, sometimes specific software knowledge
Work EnvironmentRemote, home-basedRemote, home-based
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for training AI modelsLabeling data for machine learning

Home Based Remote Annotation and Data Labeler roles are similar, both involve data preparation for AI training from a remote location. The main difference lies in terminology; 'Home Based Remote Annotation' emphasizes the annotation process, while 'Data Labeler' is a broader term. Both roles require basic skills and are used in similar industries, making them often interchangeable in job searches.

What are the key skills and qualifications needed to thrive as a Home Based Remote Annotation Specialist, and why are they important?

To thrive as a Home Based Remote Annotation Specialist, you need strong attention to detail, data entry accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes knowledge of programming languages like Python is valuable. Excellent time management, self-motivation, and effective written communication are crucial soft skills in this remote role. These skills ensure high-quality, consistent data labeling that supports the development of reliable machine learning models.

What is a Home Based Remote Annotation job?

A Home Based Remote Annotation job involves labeling or tagging data—such as images, text, audio, or video—from your own home using a computer. Annotation is crucial for training artificial intelligence and machine learning models, as these systems require large volumes of accurately labeled data to learn and improve. People in this role typically follow specific guidelines to ensure high-quality, consistent results. Tasks can include drawing bounding boxes, transcribing audio, or categorizing information. This work is popular for its flexibility and the ability to work from anywhere with an internet connection.
What cities in California are hiring for Home Based Remote Annotation jobs? Cities in California with the most Home Based Remote Annotation job openings:
Real Estate Agent (part-time AI consulting)

Real Estate Agent (part-time AI consulting)

Aquent

Los Angeles, CA • On-site, Remote

$29.37 - $32.63/hr

Temporary

Posted 12 days ago


Job description

Placement Type:
Temporary
Salary:
$29.37-32.63 Hourly
Start Date:
Jun 8, 2026
Our tech real estate company is looking for licensed real estate agents in Los Angeles, CA, to provide part-time work as Agentic AI Judges
This is a fully remote role, but candidates must be located in the Los Angeles, CA area.
This is a part-time role with flexible hours. Work will be assigned on an as-needed basis and can be completed in the candidates' free time.
Must have an active Real Estate License, or previously been licensed with experience selling real estate in Los Angeles.
Our real estate tech client is looking for an Agentic Judge. The Judge plays a crucial role in fine-tuning and calibrating AI/ML processes that handle verbal interactions between home buyers and real estate agents for example. Works directly with experienced Operations Managers, ML Engineers, Data Scientists, Software Developers, and Natural Language experts.
  • Responsible for ensuring the quality of a number of possible elements related to our projects.
  • Projects such as reviewing the accuracy and humanlike traits of automated chatbot answers, classifying elements of a conversation annotated automatically, or reviewing search results based on an understanding of complex user queries.
  • Plays an essential role in defining clear guidelines which may be used by non-native English speakers.
  • Attention to detail and natural curiosity for language subtleties is essential for the long term scaling of our solutions.

Major responsibilities:
  • Review and/or evaluate annotated data to ensure it meets quality standards and project requirements.
  • Provide feedback and guidance to engineers to improve accuracy.
  • Collaborate with engineers and data scientists to optimize model performance based on annotated data.
  • Develop and maintain annotation guidelines and best practices.
  • Provide training data to engineers to establish Ground Truth data.
  • Provide input/examples on Training content.
  • Identify gaps in training content and suggest improvements.

MINIMUM QUALIFICATIONS
  • Minimum of 3+ years of active experience as a licensed real estate agent or broker, demonstrating a deep understanding of the real estate transaction process.
  • Excellent attention to detail and analytical skills.
  • Ability to work effectively in a collaborative team environment.

PREFERRED QUALIFICATIONS
  • Demonstrated deep interest and curiosity in Artificial Intelligence, including experience reviewing or evaluating AI-generated content,
  • Experience with copywriting, User Experience authoring, and content development around voice and brand guidelines.
  • Experience with Machine-generated Speech evaluation, Search Results Evaluation, Search Query Categorization
  • Experience following or managing complex processes, and working both independently and with a team to achieve a goal.
  • Experience with tools and software used for Natural Language Processing annotation is a plus.
  • Experience working on Natural Language Processing projects with a focus on transcriptions, localization, and translation.
  • Bachelor's degree in English, Linguistics or a related field.

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