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Localization Vendor Manager Jobs in Massachusetts

Write and maintain QA scripts for in-house and vendor data drops. * Build and maintain annotation ... Manage and schedule data collection interns and contractors; own day-to-day throughput and quality.

Write and maintain QA scripts for in-house and vendor data drops. * Build and maintain annotation ... Manage and schedule data collection interns and contractors; own day-to-day throughput and quality.

Write and maintain QA scripts for in-house and vendor data drops. * Build and maintain annotation ... Team Management & Documentation -- 25% * Manage and schedule data collection interns and ...

Showing results 21-23

Localization Vendor Manager information

What is the difference between Localization Vendor Manager vs Localization Specialist?

AspectLocalization Vendor ManagerLocalization Specialist
CredentialsTypically requires project management, language, or translation certificationsRequires language proficiency, translation, or localization certifications
Work EnvironmentManages vendor relationships, oversees projects, liaises with multiple teamsPerforms translation, editing, and localization tasks directly
Employer & Industry UsageUsed in companies with multiple vendors, global productsUsed in teams handling content localization and translation

The main difference is that a Localization Vendor Manager oversees vendor relationships and manages localization projects, while a Localization Specialist focuses on executing localization tasks like translation and editing. Both roles require language skills and understanding of localization processes, but the Vendor Manager has a broader managerial and coordination focus.

What are some common challenges faced by localization vendor managers when coordinating with external language service providers?

Localization Vendor Managers often encounter challenges balancing quality, cost, and turnaround times when working with external language service providers (LSPs). Ensuring consistent communication, managing time zone differences, and aligning LSPs with company-specific standards can be complex. Additionally, they must regularly assess vendor performance, resolve quality issues, and adapt to changing project requirements, all while maintaining positive, long-term partnerships. Successfully navigating these challenges requires strong project management, negotiation, and relationship-building skills.

What are the key skills and qualifications needed to thrive as a localization vendor manager, and why are they important?

To thrive as a Localization Vendor Manager, you need expertise in localization processes, project management, vendor relationship management, and often a degree in linguistics, translation, or a related field. Familiarity with computer-assisted translation (CAT) tools, localization management platforms, and procurement systems is typically required. Strong negotiation, cross-cultural communication, and problem-solving skills help you build effective partnerships and resolve issues quickly. These skills are vital to ensure consistent quality, cost efficiency, and timely delivery of localized content across multiple markets.

What is a localization vendor manager?

A Localization Vendor Manager is a professional responsible for selecting, managing, and evaluating external language service providers, such as translation agencies and freelance linguists, to ensure high-quality localization of content. They negotiate contracts, oversee project timelines, and monitor vendor performance to maintain quality and cost-effectiveness. Localization Vendor Managers act as the main point of contact between the company and its localization partners, ensuring that all translations meet the company's standards and deadlines.
What are popular job titles related to Localization Vendor Manager jobs in Massachusetts? For Localization Vendor Manager jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Localization Vendor Manager jobs in Massachusetts look for? The top searched job categories for Localization Vendor Manager jobs in Massachusetts are:
What cities in Massachusetts are hiring for Localization Vendor Manager jobs? Cities in Massachusetts with the most Localization Vendor Manager job openings:
Infographic showing various Localization Vendor Manager job openings in Massachusetts as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 85% In-person, and 15% Remote job distribution.

Senior Data Operations Engineer

FieldAI

Boston, MA

$110K - $140K/yr

Full-time

Posted 18 days ago


Job description

FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.

About the Role
 

Field AI is transforming how robots interact with the real world. Our R&D team, the FieldAI Research Institute (FAIRI), is based in Cambridge, MA, where we build risk-aware, field-ready AI systems that unlock general purpose intelligence for robotics.

FAIRI is looking for a Senior Data Operations Engineer to run the day-to-day of our data operations function: building the tooling the pipeline runs on, staying hands-on enough to dogfood and stress-test that tooling yourself, and managing the interns and contractors who carry out the bulk of day-to-day collection and annotation. You'll work directly with the Research Operations Partner to scale FAIRI's in-house data function, and you'll set the technical and operational bar the rest of the Data Operations Engineering team is built around.

What You'll Do Data Tooling & Infrastructure - 25%
  • Build and maintain hardware sensor suites - sensor harnesses, camera arrays, mounting fixtures, wearable sensor stacks (including soldering and cable assembly).

  • Write and maintain QA scripts for in-house and vendor data drops.

  • Build and maintain annotation software and other internal data tooling.

Data Collection & Annotation - 25%
  • Run motion capture, teleoperation, and human-subjects data collection sessions yourself - the fastest way to dogfood and stress-test tooling and protocols before handing them to the team.

  • Annotate robotics/AV datasets (object interaction, contact state, multi-agent) against FAIRI's evaluation framework.

  • Use hands-on collection and annotation work to surface tooling gaps and drive the tooling roadmap above.

Team Management & Documentation - 25%
  • Manage and schedule data collection interns and contractors; own day-to-day throughput and quality.

  • Onboard and train interns/contractors on equipment, SOPs, and the informed-consent process.

  • Write and maintain SOPs and other supporting documentation for data collection, annotation, and lab operations.

  • Own first-level QC and escalation for intern/contractor output; flag protocol or safety issues.


Technical Demo Support - 25%
  • Learn the product stack and operate various robotic platforms to demonstrate FieldAI FFM (Field Foundation Model) capabilities.

  • Support demo planning and execution, coordinating with the Research Operations Partner

  • Help produce content showcasing FieldAI's ability to deploy robots on dull, dirty,

and dangerous jobs.

  • Troubleshoot hardware and software issues live during demos with important stakeholders. 

What You Bring

You don't need every skill below, but you should bring real, hands-on depth in several of them:

  • Soldering and cable assembly

  • Motion capture systems (e.g., Vicon, OptiTrack, markerless/IMU)

  • Data annotation for robotics or autonomous vehicles

  • QA for hardware and/or software

  • 3D scanning and 3D printing

  • Data collection and human subjects research (IRB/consent familiarity a plus)

  • AR/VR development or production

  • Python, Java, or equivalent scripting

  • LIDAR

  • Robotics (platforms, sensors, or control)

  • Linux command line

  • Blender or Unity

  • Film/TV production

 

Beyond the toolkit:

  • Comfortable moving between hardware and software in the same day: genuinely hands-on, not hands-off.

  • High ownership: you can take an open-ended ask ("troubleshoot why this data had issues ") and run with it without much hand-holding.

  • Strong documentation habits: you leave SOPs and processes better than you found them.

What Sets You Apart
  • Background in film/TV production, game development, data operations, or another field where wearing every hat is normal

  • Interest in humanoid robotics and how machines learn from human movement

Why FAIRI

This role sits inside FAIRI's Research Operations function, supporting the Humanoid Program. It's built to grow: the Data Operations Engineering track is expected to scale from one person today to a small team over the next 12-18 months, and this hire is a leading candidate for Data Operations Engineering Lead as that team stands up.

$110,000 - $140,000 a year
Why Join Field AI?
FieldAI is tackling one of robotics' hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.

You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.

Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.

Be Part of the Next Robotics Revolution
Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.
We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.

Equal Opportunity
FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, 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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