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Remote Data Labelling 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

Remote Data Labelling information

What are the key skills and qualifications needed to thrive in remote data labelling?

To thrive as a Remote Data Labelling professional, strong attention to detail, accuracy, and basic computer literacy are essential, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, labeling tools, and sometimes experience with spreadsheet or project management software are common requirements. Excellent time management, self-motivation, and the ability to follow detailed instructions help individuals excel in this largely independent role. These qualifications are vital to ensure precise, high-quality data sets that drive effective machine learning and AI model development.

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

Remote data labelling professionals often encounter challenges such as repetitive tasks, maintaining focus over extended periods, and interpreting ambiguous data accurately. To manage these challenges, it helps to take regular breaks, use productivity techniques, and seek clarification from supervisors or team leads when instructions are unclear. Many companies provide detailed guidelines and offer online support channels to help remote labelers stay engaged and ensure consistency. Being proactive in communication and attentive to updates in instructions will contribute to both job satisfaction and data quality.

What is a remote data labelling?

A Remote Data Labelling job involves annotating, categorizing, or tagging data (such as images, text, or audio) to help train machine learning models. Workers typically use specialized tools to label data based on specific guidelines provided by companies. This role is performed entirely online, making it flexible and accessible from anywhere. It is commonly used in AI development for industries like autonomous vehicles, healthcare, and e-commerce.

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

The most popular types of Data Labelling jobs in California are:

What are popular job titles related to Remote Data Labelling jobs in California?

For Remote Data Labelling jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Data Labelling jobs in California look for?

The top searched job categories for Remote Data Labelling jobs in California are:

What cities in California are hiring for Remote Data Labelling jobs?

Cities in California with the most Remote Data Labelling job openings:

Infographic showing various Remote Data Labelling job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Systems Principal Automation Engineer

Login Consulting Services Inc.

Monrovia, CA • On-site, Remote

Full-time

Re-posted 22 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.