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Remote Localization Jobs in Los Angeles, CA (NOW HIRING)

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option ... Our Field Foundational Models set a new standard in perception, planning, localization, and ...

Productive Playhouse

Thai AI Product Tester

Glendale, CA · On-site +1

$250/day

Thai AI Product Tester Location: 100% Remote, located in the U.S. Device: Applicants must have a ... localization, field and studio recording, language skill verification, and specialized data ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option ... Our Field Foundational Models™ set a new standard in perception, planning, localization, and ...

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All JobsLocalization JobsRemote Localization JobsRemote Localization Jobs in Los Angeles, CA

Remote Localization information

See Los Angeles, CA salary details

$23

$49

$82

How much do remote localization jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote localization in Los Angeles, CA is $49.83, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $54.66 per hour, depending on experience, location, and employer.

What is a remote localization?

A Remote Localization job involves adapting content, products, or services for different languages, cultures, and regions while working remotely. This can include translating text, adjusting design elements, and ensuring cultural relevance for a target audience. Professionals in localization may work on websites, apps, marketing materials, video games, or software. The role often requires language proficiency, cultural knowledge, and familiarity with localization tools. Remote localization specialists collaborate with teams worldwide to create seamless, localized user experiences.

What are the key skills and qualifications needed to thrive in remote localization, and why are they important?

To excel in Remote Localization, you need strong linguistic proficiency in at least two languages, a deep understanding of cultural nuances, and experience in adapting content for global audiences. Familiarity with CAT (Computer-Assisted Translation) tools, translation management systems, and industry-standard localization platforms is often required, along with certifications such as ATA or ISO 17100 being advantageous. Superior attention to detail, cross-cultural communication, and effective time management are vital soft skills for success in this remote setting. These capabilities ensure high-quality, culturally appropriate deliverables and smooth collaboration with globally distributed teams.

What are the typical challenges faced in a remote localization role and how can they be managed?

Remote Localization professionals often encounter challenges such as maintaining consistency across multiple language projects, adapting content to diverse cultural contexts, and managing deadlines across various time zones. To address these issues, it’s important to leverage collaborative tools, maintain clear documentation, and communicate frequently with project managers and translators. Building strong relationships with global team members and keeping up with localization best practices also helps address quality and efficiency concerns. Many organizations provide structured onboarding and offer ongoing support to help remote localizers integrate seamlessly with the team.

What are the most commonly searched types of Localization jobs in Los Angeles, CA?

The most popular types of Localization jobs in Los Angeles, CA are:

What are popular job titles related to Remote Localization jobs in Los Angeles, CA?

For Remote Localization jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Remote Localization jobs in Los Angeles, CA look for?

The top searched job categories for Remote Localization jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Remote Localization jobs?

Cities near Los Angeles, CA with the most Remote Localization job openings:

Remote Localization jobs near you
Infographic showing various Remote Localization job openings in Los Angeles, CA as of August 2026, with employment types broken down into 69% Full Time, 12% Part Time, 5% Temporary, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $103,640 per year, or $49.8 per hour.

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Full-time

Re-posted 7 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment.

What You Will Get To Do

  • Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows.

  • Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment.

  • Build tools and automation to support reproducible experiments, model versioning, and dataset management.

  • Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources.

  • Monitor model performance and system reliability across development and production environments.

  • Improve the efficiency, scalability, and reliability of ML workflows and infrastructure.

  • Work with cross-functional engineering teams to integrate ML components into robotics software systems.

What You Have

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

  • 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.

  • Strong programming skills in Python or similar languages.

  • Experience building and maintaining machine learning pipelines.

  • Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc.,

  • Solid understanding of Linux systems and distributed computing environments.

  • Experience with GPU workload scheduling and orchestration across multi-region cloud environments.

  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

What Will Set You Apart

  • Experience deploying and operating ML systems for robotics or real-world physical systems.

  • Experience with scaling AI, ML, and inference workloads on Kubernetes.

  • Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds)

  • Experience with experiment tracking, model versioning, or dataset versioning tools.

  • Experience optimizing ML pipelines for large-scale training and data processing.

  • Experience working closely with research or applied machine learning teams.

Compensation and Benefits
Our salary range is competitive with the market, but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
 
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
 
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
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.
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