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Data Labeler Remote Jobs in California (NOW HIRING)

... Data Science to deliver intuitive, artist-first experiences that drive growth, retention, and label partner success. This role is based in San Francisco with four days in-office and one day remote.

... Data Science to deliver intuitive, artist-first experiences that drive growth, retention, and label partner success. This role is based in SanFrancisco with four days in-office and one day remote.

VP, Engineering

San Francisco, CA · On-site +1

$212K - $273K/yr

... Data Science to deliver intuitive, artist-first experiences that drive growth, retention, and label partner success. This role is based in SanFrancisco with four days in-office and one day remote.

... Data Science to deliver intuitive, artist-first experiences that drive growth, retention, and label partner success. This role is based in SanFrancisco with four days in-office and one day remote.

Category Development Manager I

Livingston, CA · On-site +1

$103K - $129K/yr

... and Private Label products. This position serves as a strategic business partner to Sales ... The ideal candidate is a data-driven storyteller with a strong command of syndicated, shopper, and ...

Identifies and labels specific nutrition diagnosis(es) derived from the assessment data.Prioritizes ... May provide on-call coverage, and/or perform work that requires remote access and/or telecommuting.

Showing results 41-60

Data Labeler Remote information

Is data labeling a good career?

Data labeling is a common entry-level role in the AI and machine learning industry, involving annotating data such as images, text, or audio to train algorithms. It often offers flexible remote work options and requires attention to detail and basic technical skills. While it can provide a stepping stone into tech-related fields, it may have limited advancement opportunities without additional skills or certifications.

What are the key skills and qualifications needed to thrive as a remote data labeler?

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

What are some common challenges faced by remote data labelers and how can they be managed?

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

How much do data labelers get paid?

Data labelers working remotely typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or bonuses, and familiarity with labeling tools can improve earning potential.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

What are the most commonly searched types of Data Labeler jobs in California? The most popular types of Data Labeler jobs in California are:
What job categories do people searching Data Labeler Remote jobs in California look for? The top searched job categories for Data Labeler Remote jobs in California are:
What cities in California are hiring for Data Labeler Remote jobs? Cities in California with the most Data Labeler Remote job openings:
Infographic showing various Data Labeler Remote job openings in California as of August 2026, with employment types broken down into 50% Full Time, 29% Part Time, and 21% Contract. Highlights an 100% Remote job distribution.

Systems Principal Automation Engineer

Login Consulting Services Inc.

Monrovia, CA • On-site, Remote

Full-time

Re-posted 16 days ago


Job description

A leading manufacturer of equipment and systems for resistance welding, laser welding, laser marking, laser cutting, laser micromachining, and hot bar bonding, located in Monrovia, CA, is seeking a Systems Principal Automation Engineer for a full time role.
SUMMARY:
The Systems Operations department delivers integrated, intelligent systems using our 3D, Define-Design-Deliver, philosophy. The Systems Principal Automation Engineer (Principal Engineer) serves as the senior-most technical authority for software architecture, advanced controls, artificial intelligence and machine-learning systems, SCADA/HMI platforms, machine vision, and high reliability industrial automation in Systems Operations.
This position operates with minimal guidance from leadership and establishes technical direction across multidisciplinary engineering teams. Task assignments, project schedules, and backlog priorities are directed through the Engineering Services Manager or delegated Systems Operations technical leadership (Proposal Manager, Engineering Manager, and Automation Lead). The Principal Engineer is expected to self‑manage execution of these tasks with minimal oversight, driving technical quality, architecture decisions, and integration outcomes across Systems Operations.
RESPONSIBILITIES:
Engineering:
* The Principal Engineer will be assigned programming needs for production backlog and development projects.
* Architect and develop advanced software systems supporting automation, motion control, machine
vision, SCADA, safety systems, and distributed industrial operations.
* Architect SCADA/HMI systems for live visualization, diagnostics, alarms, and remote operations.
* Develop industrial data acquisition, historians, and plant-wide data networking (FactoryTalk, IIoT,
MQTT)
* Lead machine learning and AI development initiatives using PyTorch, TensorFlow, OpenCV, and/or HALCON.
* Develop classical and deep learning machines and vision applications using OpenCV or HALCON with custom neural networks or pipelines.
* Oversee dataset design, labeling workflows, training pipelines, and model validation/testing.
* Integrate edge AI hardware and accelerators or embedded inference engines.
* Design and validate real-time controls integrations across PLCs, CNCs, motion controllers, and industrial network systems.
* Develop industrial communication handshakes in Modbus TCP, OPC-UA, TCP/IP, Serial, or other fieldbus protocols.
* Ensure compliance with UL, CE, and NFPA standards governing safety and controls engineering.
* Lead development of machine-learning models for inspection, anomaly detection, automation
optimization, and predictive intelligence within Systems Operations.
* Design operator interfaces using WinForms, WPF, .NET, and industrial panel platforms.
* Author and enforce software architecture standards, reusable libraries, modular frameworks, and
support strategies.
* Utilize Azure DevOps for task assignments, backlog execution, tracking, code review, and revision
control across projects.
* Other projects and tasks assigned by the company from time to time.
Project Engineering:
* Work in and foster a team environment with other engineers, production, QA, test, materials
control, contract management, and sales personnel.
* Support and develop new software under direction of management.
* Prepare interface and functionality documentation for software modules.
* Develop and report on project plans and schedules for software development work.
* Prepare detailed engineering release documents and compliance documents.
Software and Controls Development:
* Analyze and recommend improvements to our present software development and design control
methodology.
* Mentor software and controls engineers on architecture, design patterns, and quality standards.
* Guide the team in adoption of emerging automation and AI technologies.
Supervisory Responsibilities: This job has no supervisory responsibilities.
POSITION REQUIREMENTS:
* Expert-level C# and .NET development experience.
* Expert-level understanding of Rockwell Automation software, specifically Studio 5000 Logix
Designer, RSLogix 500 and 5000.
* Deep expertise in software architecture, distributed systems, machine learning, computer vision, SCADA/HMI platforms, and real‑time industrial automation environments
o Experience with FactoryTalk View or database integration to move data between the PLC
and .NET layers.
* Proven ability to integrate using industrial communication protocols.
* Ability to interpret electrical, pneumatic, and mechanical drawings to support software and controls
design.
* Exceptional communication skills: this role will be communicating daily with internal and external
customers across multiple disciplines.
* Routine adjustment of working hours to support remote login of our worldwide customer base.
* Ability to travel occasionally.
EDUCATION & EXPERIENCE:
* Four-year degree in STEM degree or related discipline
o Master"s or PhD preferred.
* 10+ years in complex software architecture, automation systems, and controls engineering.
* 5+ years" experience in machine vision and AI/ML development.
* Project management training or certification (e.g., PMI, Agile) preferred.
OTHER QUALIFICATIONS:
* Attention to detail and being flexible to manage multiple tasks independently.
* Excellent verbal and written communication skills.
* Exceptional organization and time management skills.
* Proven ability to meet deadlines while performing task accurately.
* Initiative-taking with a keen sense of ownership in all areas of responsibility.* Punctual and dependable attendance.
* Understands company's basic philosophy and participates fully in conducting its mission.