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Machine Learning Contract Remote Jobs in Pasadena, CA

Java Open Source Contributor

Los Angeles, CA · Remote

$55 - $71/hr

Contract Location: Remote Scope of Work: * Contribute production-quality code, reviews, and ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Cinematic AI Specialist

Burbank, CA · On-site +1

$55 - $75/hr

Familiarity with diffusion models, generative video, multimodal AI tools, or machine learning ... Remote instruction and project-based learning * Collaborative creative environment New York Film ...

Psych NP _CA_Remote_Contract

Los Angeles, CA · On-site +1

$154K - $260K/yr

Psych NP _CA_Remote_Contract Application Deadline: 30 April 2027 Department: Clinical Care ... You are curious and constantly learning * You are licensed and certified in California. * You have ...

... machine learning techniques in collaboration with data science and ML engineering teams. * 10% - ... As a remote-first company, we are able to hire team members residing in the following US states: AZ ...

Showing results 21-40

Machine Learning Contract Remote information

See Pasadena, CA salary details

$27.8K

$46.5K

$96K

How much do machine learning contract remote jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning contract remote in Pasadena, CA is $46,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $50,200.00 per year, depending on experience, location, and employer.

What are common challenges faced by remote machine learning contractors, and how can they be addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

What skills and qualifications are needed to thrive as a machine learning contractor in a remote role?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What is a machine learning contract remote job?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

What is the difference between Machine Learning Contract Remote vs Data Scientist Contract Remote?

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

What are popular job titles related to Machine Learning Contract Remote jobs in Pasadena, CA? For Machine Learning Contract Remote jobs in Pasadena, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Contract Remote jobs in Pasadena, CA look for? The top searched job categories for Machine Learning Contract Remote jobs in Pasadena, CA are:
What cities near Pasadena, CA are hiring for Machine Learning Contract Remote jobs? Cities near Pasadena, CA with the most Machine Learning Contract Remote job openings:
Infographic showing various Machine Learning Contract Remote job openings in Pasadena, CA as of June 2026, with employment types broken down into 77% Full Time, 8% Part Time, and 15% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $46,450 per year, or $22.3 per hour.

Systems Principal Automation Engineer

Login Consulting Services Inc.

Monrovia, CA • On-site, Remote

Full-time

Re-posted 17 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.