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Localization Salary Jobs (NOW HIRING)

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$523K - $920K/yr

The Localization Data Science and Engineering team is at the forefront of removing language ... You choose each year how much of your compensation you want in salary versus stock options. To ...

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How much do localization salary jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for localization salary in the United States is $46.24, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $50.72 per hour, depending on experience, location, and employer.

What is the difference between Localization Salary vs Localization Specialist?

AspectLocalization SalaryLocalization Specialist
Required CredentialsTypically requires a degree in translation, linguistics, or related fieldUsually needs a degree or certification in translation, linguistics, or language studies
Work EnvironmentCorporate, tech, or media companies focusing on global marketsTranslation agencies, multinational companies, or in-house localization teams
Employer & Industry UsageUsed by HR and compensation teams to benchmark salariesCommonly searched by job seekers and employers for role-specific salary info

Localization Salary refers to the compensation level for roles involved in localization processes, while a Localization Specialist is a specific job title within that field. Understanding the salary differences helps both employers and job seekers gauge fair compensation for localization roles.

What skills are needed for localization?

Localization professionals need strong language skills in at least two languages, cultural knowledge, and attention to detail. They should be proficient with translation tools like CAT software and have good communication and project management skills to coordinate with teams and meet deadlines.

What jobs pay $500,000 a year in the US?

In the field of localization, senior roles such as Localization Directors, VPs, or Chief Localization Officers can reach or exceed $500,000 annually, especially in large companies or tech firms. These positions typically require extensive experience, leadership skills, and often involve overseeing global translation, cultural adaptation, and project management teams.

What are localization jobs?

Localization jobs involve adapting products, content, or software to different languages and cultures to ensure they are culturally appropriate and effective in target markets. Common roles include localization specialists, translators, and project managers who use tools like CAT (Computer-Assisted Translation) software and require language proficiency and cultural knowledge.

What profession makes $400,000 a year?

High-level executives such as CEOs, CFOs, and other C-suite leaders often earn salaries exceeding $400,000 annually, especially in large corporations. Certain specialized roles in finance, law, or technology, like investment bankers, senior attorneys, or software engineering directors, can also reach or surpass this level with experience and bonuses.
More about Localization Salary jobs
What cities are hiring for Localization Salary jobs? Cities with the most Localization Salary job openings:
What states have the most Localization Salary jobs? States with the most job openings for Localization Salary jobs include:
Infographic showing various Localization Salary job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 87% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $96,184 per year, or $46.2 per hour.

Calibration and Localization Engineer

Humble Robotics

San Francisco, CA โ€ข On-site

Full-time

Re-posted 22 days ago


Job description

About Humble Roboticsย 

Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We're building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today's global logistics network.

We're a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don't believe culture can be engineered โ€“ but when it falls into place, it's a once-in-a-lifetime adventure.

Progress has never felt so present.

Position Overview
We're looking for an engineer to own the spatial foundations of our autonomy stack: how our sensors relate to each other and to the vehicle, and how that information is fused into a continuous, trustworthy estimate of where the vehicle is. The environments our trucks operate in, including port terminals, container yards, warehouses, and the corridors that connect them, all present unique challenges to both. This is a role for someone who thinks about sensor geometry and state estimation as facets of the same problem.
Key Responsibilities
  • Lead the extrinsic calibration of our sensor suite and the localization algorithms that consume its outputs, ensuring both are robust, well-characterized, and evolve together
  • Develop evaluation frameworks and metrics that let us measure calibration and localization quality honestly across fleet data
  • Debug failures in real-world logs and translate findings into algorithmic improvements
  • Collaborate with Autonomy, vehicle software, fleet operations, and data teams to tighten the loop between these foundational systems and their downstream consumers
  • Contribute to the broader shape of how Humble approaches sensor geometry and state estimation as the team and fleet grow
Minimum Qualifications
  • BS, MS, or PhD in Robotics, Computer Science, or a related field โ€” or equivalent industry experience
  • Strong foundation in the geometry, state estimation, and optimization methods: nonlinear optimization, Kalman filtering, factor graphs, sensor modeling, and similar
  • Hands-on experience contributing to production-grade calibration and/or localization systems
  • Proficiency in Python and Rust for developing algorithms and the tooling around them
  • Comfortable reasoning about uncertainty โ€” both characterizing outputs and tracing propagation to downstream systems
  • Eligible to work in the United States
Preferred Qualifications
  • Experience with online or continuous calibration, where calibration updates feed live into localization
  • Experience building evaluation frameworks at fleet scale, outside controlled lab environments
  • Familiarity with the failure modes of INS/GNSS in challenging environments, and techniques for handling them
  • Comfort with modern build and dev environments (Bazel, monorepos, dev containers, or similar)
  • Comfort operating as an early team member โ€” high ownership, low ego, fast iteration
Compensation
This role is eligible for base salary + benefits + equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location.
Additional Information

As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact **legal@humblerobotics.ai** to exercise this right or if you have further questions on the use of AI tools in our hiring process.

Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances.

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.