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Part Time Ai Data Labeling Jobs in California (NOW HIRING)

Shield AI

Senior Accountant (R5542)

San Diego, CA · On-site

$88K - $120K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... This role goes beyond the close, you will influence how financial data is produced, trusted, and ...

Shield AI

Flight Test Engineer (R5006)

San Mateo, CA

$115K - $215K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Analyze ground and flight test data to identify performance trends, anomalies, root causes, and ...

Shield AI

Flight Test Engineer (R5006)

San Diego, CA · On-site

$115K - $215K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Analyze ground and flight test data to identify performance trends, anomalies, root causes, and ...

Shield AI

Senior Accountant (R5541)

San Mateo, CA

$96K - $140K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... This role goes beyond the close, you will influence how financial data is produced, trusted, and ...

Compass Group

PREP COOK (PART TIME)

Danville, CA

$27/hr

... an AI recruiting assistant that helps you apply to jobs with Compass Group. Message frequency ... Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions:

Epicurean Group

PREP COOK (PART TIME)

Danville, CA · On-site

$27/hr

... an AI recruiting assistant that helps you apply to jobs with Compass Group. Message frequency ... Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions:

Compass Group

PREP COOK (PART TIME)

Danville, CA · On-site

$27/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... Stores, labels and dates all food items according to policy. Follows HACCP guidelines. * Completes ...

LXT

CA · On-site

$25/hr

Learnmoreatlxt.ai. Job Summary We are hiring part-time Retail Data Collection Associates to conduct in-store data collection across multiple retail locations within a designated territory. This is a ...

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All JobsAi Data Labeling JobsPart Time Ai Data Labeling JobsPart Time Ai Data Labeling Jobs in California

Part Time Ai Data Labeling information

What is part time AI data labeling?

Part-time AI data labeling involves annotating or categorizing data such as images, text, audio, or video to train and improve artificial intelligence and machine learning models. As a part-time data labeler, you work flexible hours to tag or classify data according to specific guidelines provided by a company or research team. This role is essential for creating high-quality datasets that help AI systems learn to recognize patterns, objects, or language. The work can often be done remotely and may require attention to detail and basic computer skills. Many companies hire part-time data labelers to handle large volumes of data efficiently.

What are the key skills and qualifications needed to thrive as a part time AI data labeling specialist?

To thrive as a Part Time AI Data Labeling Specialist, you need attention to detail, basic computer literacy, and often a high school diploma or equivalent. Familiarity with labeling platforms, annotation tools, and sometimes experience with data management systems is typically required. Reliability, time management, and the ability to follow precise instructions are crucial soft skills for this role. These skills ensure high-quality, accurate datasets that support effective machine learning model development.

What are some common challenges faced by part time AI data labelers, and how can they be effectively managed?

Part-time AI data labelers often encounter challenges such as repetitive tasks, maintaining high accuracy, and adapting to evolving labeling guidelines. To manage these, it's important to take regular breaks to prevent fatigue, stay updated on any changes to annotation protocols, and communicate with supervisors or team members when clarifications are needed. Leveraging available training resources and quality assurance feedback can also help improve performance and make the work more engaging. Collaboration with other labelers through team chats or forums can provide support and insights for handling tricky cases.

What is the difference between Part Time Ai Data Labeling vs Part Time Data Annotation Specialist?

AspectPart Time Ai Data LabelingPart Time Data Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certification required
Work EnvironmentRemote, flexible hoursRemote or onsite, flexible schedule
Industry UsageAI, machine learning, tech companiesData management, research, tech sectors
Job FocusLabeling data for AI trainingAnnotating data for various applications

Part Time Ai Data Labeling and Part Time Data Annotation Specialist roles share similar credentials and work environments, often involving remote work and flexible hours. The main difference lies in the specific focus: AI Data Labeling emphasizes preparing data for machine learning models, while Data Annotation Specialists may work on broader data types for various purposes. Both roles are essential in data-driven industries and often overlap in skills and industry usage.

What are the most commonly searched types of Ai Data Labeling jobs in California?

The most popular types of Ai Data Labeling jobs in California are:

What are popular job titles related to Part Time Ai Data Labeling jobs in California?

For Part Time Ai Data Labeling jobs in California, the most frequently searched job titles are:

What job categories do people searching Part Time Ai Data Labeling jobs in California look for?

The top searched job categories for Part Time Ai Data Labeling jobs in California are:

What cities in California are hiring for Part Time Ai Data Labeling jobs?

Cities in California with the most Part Time Ai Data Labeling job openings:

Part Time Ai Data Labeling jobs near you
Infographic showing various Part Time Ai Data Labeling job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Autonomy & Perception Integration Engineer - Flight Test (R5441)

Shield AI

San Diego, CA

$195K - $350K/yr

Full-time, Part-time

Re-posted 12 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
This role is the team's primary interface between perception software and the flight test enterprise. You will work alongside autonomy/perception software developers, flight test engineers, and platform integration teams to mature our capabilities from algorithm to flight-verified system. The ideal candidate brings hands-on experience deploying and testing autonomy or perception software on edge hardware, a strong foundation in one or more core perception disciplines (detection, tracking, SLAM, or navigation), and a bias toward field execution over theoretical analysis.
What you'll do:
  • Integrate perception and state-estimation software with EO/IR cameras, IMU/GNSS/PNT sensors, embedded compute, and target or surrogate platforms.
  • Lead the practical fly-fix-fly loop: prepare software and hardware, verify deployment/configuration, support execution, analyze the data, and drive the next corrective action with the responsible owners.
  • Establish and improve calibration, timing, configuration, data-capture, metadata, and replay practices; define the measurable test objectives and acceptance criteria that make the resulting data usable.
  • Investigate anomalous behavior using logs, recorded data, configuration, and focused source review; partner with software developers on targeted fixes and regression coverage.
  • Support sensor and edge-compute trade studies, bring-up, and operational readiness; drive day-to-day technical triage while escalating safety, airworthiness, and architecture decisions appropriately.
Required qualifications:
  • Hands-on experience integrating and troubleshooting sensor-driven robotics or autonomy systems on physical hardware, including camera, IMU, GNSS/PNT, video, or comparable sensors.
  • Experience with calibration, timestamping, configuration, data quality, or a comparable sensor-integration discipline.
  • Experience defining and executing measurable test objectives, design-of-experiments activities, operational test procedures, or equivalent verification plans.
  • Proficiency in Python/Matlab for analysis, visualization, and investigation of recorded test data.
  • Comfort reading C++ and working with embedded Linux or edge-compute deployments to support focused debugging and integration work.
  • Demonstrated ability to work across hardware, software, test, and operational stakeholders; working knowledge of at least one core perception area such as navigation, tracking, detection, navigation, SLAM, or sensor fusion.
Preferred qualifications:
  • Direct experience with camera intrinsics/extrinsics, camera-to-IMU calibration, time alignment, VIO/VBN, or other sensor-fusion systems in real-world testing.
  • Familiarity with capture, replay, and analysis workflows, plus EO/IR camera, optics, video-metadata, or image-quality characterization.
  • Experience with NVIDIA Jetson or comparable embedded GPU hardware, camera/video pipelines, and performance profiling.
  • Background supporting aviation, maritime, UAS, automotive, industrial robotics, or another operational autonomy domain; familiarity with modern C++ build, deployment, or CI environments.
#LI-KC3
#LE

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.