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Administrative Assistant Data Annotation Jobs in California

TSMG

AI/ML Data Contributor

Los Angeles, CA · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Robert Half

Administrative Assistant

Concord, CA · On-site

$32 - $33/hr

We are looking for an Administrative Assistant to support insurance operations in Concord ... Perform accurate data entry and maintain client records within the company's CRM system. * Upload ...

Maxwon LLC

Administrative Assistant

Santa Ana, CA

$18.75 - $25.25/hr

Administrative Assistant Position We are looking for a highly organized and detail-oriented ... Data entering * Administer, organize, and maintain project files electronically * Collect and ...

JNH Lifestyles

Administrative Assistant

Irvine, CA · On-site

$22 - $24/hr

Handle requests for information and data. * Assist in the preparation of regularly scheduled reports. * Resolve administrative problems and inquiries. * Prepare written responses to routine inquiries.

Gold Coast Dental

Administrative Assistant

La Habra, CA · On-site

$17 - $20/hr

Organize files, documents, and office records * Assist with data entry and reporting * Provide ... Previous administrative or office experience preferred * Strong communication and organizational ...

JNH Lifestyles

Administrative Assistant

Irvine, CA · On-site

$22 - $24/hr

Handle requests for information and data. * Assist in the preparation of regularly scheduled reports. * Resolve administrative problems and inquiries. * Prepare written responses to routine inquiries.

KLM Careers

Administrative Assistant

San Jose, CA · Hybrid

$21 - $28.50/hr

Administrative Assistant - Legal and Compliance San Jose, CA Must be a US Citizen or Green Card ... Data entry for litigation management system entering case details, maintaining records, generating ...

Gold Coast Dental

Administrative Assistant

La Habra, CA · On-site

$17 - $20/hr

Organize files, documents, and office records * Assist with data entry and reporting * Provide ... Previous administrative or office experience preferred * Strong communication and organizational ...

Robert Half

Administrative Assistant

Banning, CA · On-site

$23.75 - $27.50/hr

Enter data, update office records, answer inbound calls, and provide support on additional projects as priorities shift.* Prior experience in an administrative assistant, receptionist, or general ...

Kinetic Personnel Group

Administrative Assistant

Tustin, CA · On-site

$18.75 - $25.50/hr

... data entry and maintain electronic and paper files Schedule meetings and manage calendars as needed ... and assist with inventory Prepare reports, correspondence, and other administrative documents ...

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All JobsAdministrative Data Annotation JobsAdministrative Assistant Data Annotation JobsAdministrative Assistant Data Annotation Jobs in California

Administrative Assistant Data Annotation information

What is an administrative assistant data annotation?

Administrative Assistant Data Annotation jobs involve supporting office operations while also labeling and categorizing data for machine learning and AI projects. These professionals handle clerical tasks such as scheduling, organizing files, and managing communications, in addition to ensuring data is accurately tagged and annotated according to specific guidelines. Their role is essential in helping organizations prepare high-quality datasets for AI models, combining administrative expertise with attention to detail in data processing. Strong organizational, communication, and computer skills are important for success in this position.

What are the key skills and qualifications needed to thrive as an administrative assistant data annotation, and why are they important?

To excel as an Administrative Assistant Data Annotation, strong organizational skills, attention to detail, and proficiency in data entry are essential, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, spreadsheets, and office management software like Microsoft Office or Google Workspace is typically required. Effective communication, time management, and problem-solving abilities set top performers apart in this role. These skills ensure accurate data processing, efficient workflow support, and high-quality outcomes for data-driven projects.

How does an administrative assistant data annotation typically collaborate with other departments or teams?

As an Administrative Assistant Data Annotation, you will frequently collaborate with data scientists, engineers, and project managers to ensure annotated data meets project requirements and quality standards. Communication is essential, as you may need to clarify labeling guidelines, share feedback, and coordinate timelines. Additionally, you may work closely with other administrative staff to maintain documentation and streamline workflow processes, contributing to the overall efficiency of cross-functional projects.

What is the difference between Administrative Assistant Data Annotation vs Data Labeler?

AspectAdministrative Assistant Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentOffice setting, administrative tasks, data annotation platformsRemote or office, focused on labeling data for AI models
Industry UsageBusiness, tech, AI developmentAI, machine learning, data processing
Common TasksScheduling, data annotation, document managementImage, text, or audio data labeling

While both roles involve working with data, Administrative Assistant Data Annotation combines administrative duties with data annotation tasks, often in an office setting. Data Labelers focus solely on labeling data for AI training, typically in remote environments. Understanding these differences helps job seekers identify the right role based on skills and work environment preferences.

Can I do data annotation with no experience?

Administrative Assistant Data Annotation roles often do not require prior experience, as training is typically provided to teach specific annotation tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. However, some positions may prefer or require familiarity with data labeling concepts or related software.

Does data annotation really pay well?

Data annotation jobs, including roles like Administrative Assistant Data Annotation, typically offer hourly wages that are close to minimum wage or slightly above, depending on the employer and location. Pay rates can vary based on experience, the complexity of annotation tasks, and whether the work is freelance or full-time, but generally do not provide high salaries. Skills in attention to detail and familiarity with annotation tools can influence earning potential.

What are popular job titles related to Administrative Assistant Data Annotation jobs in California?

For Administrative Assistant Data Annotation jobs in California, the most frequently searched job titles are:

What job categories do people searching Administrative Assistant Data Annotation jobs in California look for?

The top searched job categories for Administrative Assistant Data Annotation jobs in California are:

What cities in California are hiring for Administrative Assistant Data Annotation jobs?

Cities in California with the most Administrative Assistant Data Annotation job openings:

Administrative Assistant Data Annotation jobs near you
Infographic showing various Administrative Assistant Data Annotation job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Annotator / Geospatial Annotation Specialist

Aechelon Technology

South San Francisco, CA

$82K - $92K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 28 days ago

Job description

The Data Annotator / Geospatial Annotation Specialist plays a critical role in the creation of high-quality training datasets used to develop and refine Aechelon's machine learning and computer vision models. This role supports both the Advanced Model Development Group and the Applied Real-Time Vision Group, ensuring datasets for object detection, segmentation, and classification are accurate, consistent, and production-ready.
The Specialist performs detailed vector annotation, image segmentation, and dataset preparation while adhering to strict quality standards. Because model performance is highly dependent on high-quality annotation, this role requires exceptional attention to detail and a strong understanding of geospatial imagery.
In addition to dataset creation, the Specialist will learn core machine learning concepts and gain experience operating inference tools and models within the DAML pipeline, becoming a direct contributor to model evaluation and workflow improvements.

Key Responsibilities
  • Create precise vector annotations and segmentation masks for training computer vision and object detection models.
  • Perform detailed image segmentation, manually labeling features across large and varied imagery datasets.
  • Follow established annotation guidelines and maintain consistency across global AOIs.
  • Validate and refine automated detection outputs; correct errors or incomplete detections.
  • Work with ML team to understand annotation needs, edge cases, and quality thresholds.
  • Learn how to operate model inference tools and assist in evaluating model performance.
  • Provide feedback on false positives/negatives, detection weaknesses, and annotation ambiguities.
  • Maintain structured documentation of annotation processes, datasets, feature definitions, and QA results.
  • Support improvements to dataset pipelines and annotation workflows through iterative refinement and testing.
  • Assist multiple DAML groups as needed, depending on dataset demands and model development cycles.
Required Qualifications
  • Background in GIS, Remote Sensing, Image Analysis, Digital Art, Photography, or related field (degree preferred but not required with strong experience).
  • Prior experience with image annotation, data labeling, GIS feature extraction, or segmentation workflows.
  • Ability to visually identify subtle features in imagery with extreme precision.
  • Strong analytical, organizational, and documentation skills.
  • Ability to work with large datasets for extended periods while maintaining accuracy and focus.
Required Skills and Tools
  • Adobe Photoshop (Advanced): Expertise in mask creation, polygon tracing, color differentiation, clean-up workflows, and segmentation editing.
  • GIS Tools (Intermediate+): Ability to work in QGIS, ERDAS Imagine, or Global Mapper for spatial visualization and annotation support.
  • Geospatial Data Handling: Ability to work with shapefiles, GeoPackages, raster datasets, and other formats used in ML workflows.
  • Python (Basic-Intermediate): Ability to run scripts, perform data checks, and assist with pre-processing tasks.
  • Documentation Tools: Proficiency using Jupyter Notebook and Git for tracking annotation notes and revisions.
Strongly Desired Skills and Tools
  • Experience creating training datasets for machine learning, object detection, or image segmentation models.
  • Familiarity with YOLO, PyTorch, or fast.ai (conceptual knowledge acceptable).
  • Ability to create simple scripts to automate annotation steps or pre-processing tasks.
  • Experience using ChatGPT or other LLMs to improve workflows, generate helper scripts, or automate documentation.
  • Understanding of geospatial features such as vegetation, buildings, vehicles, aircraft, or other runtime elements.
Reporting Expectations

The Specialist reports jointly to managers in the Advanced Model Development and Applied Real-Time Vision groups depending on project assignment. Regular updates are expected on dataset progress, annotation quality, workflow blockers, and model evaluation findings. The Specialist is expected to meet annotation quotas while maintaining strict accuracy and quality standards.

Compensation

$82,000 - 92,000 / year 

The above range is specific to CALIFORNIA and may not be applicable to other locations. Final compensation is based on factors such as the candidate's skills, qualifications, and experience. 

 We offer a very attractive compensation package including competitive base salary, company performance-based profit sharing, 401k, 100% employer paid health benefits (medical, dental, vision, life, std, ltd, and life insurance plans). 

No relocation reimbursement provided. 

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