Welo Global

Multilingual AI-enabled technology and content provider

Senior Software Engineer - Robot Data Collection

Software EngineeringConfirmed live in the last 24 hours

Full-timeSanta Clara, CA, USA$105 /hr

About the Job

Requirements

A Master of Science in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related field, or a Bachelor of Science with equivalent hands-on experience.
At least 3 years of building software for real robot systems, not simulation-only systems.
A system designed and shipped for daily use by others, with responsibility for keeping it running.
Strong Python and Linux skills, plus Docker, Git, continuous integration, and SSH-based fleet administration.
Experience with robot middleware and real-time multi-sensor recording, such as ROS 2 or equivalent vendor software development kits.
Experience supporting a data collection or teleoperation operation by building operator tools and owning throughput and quality metrics.
Comfort working with robot hardware, including arms or humanoids, dexterous hands, RGB-D cameras, and calibration.
Ability to lead operators without formal authority by writing clear standard operating procedures, training people, and proactively communicating status.
The role requires identity and eligibility verification for work in the United States, including completion of employment eligibility verification upon hire.

Responsibilities

Design, build, and maintain software for data collection stations, including the teleoperation stack, multi-camera recording, and session tools.
Deploy and upgrade the software stack across the fleet without interrupting collection, and maintain workstations, containers, and networking.
Own the data pipeline from end to end, including automated validation, conversion into the dataset format, upload, metadata, and versioning.
Build quality-assurance tools to detect dropped frames, stream desynchronization, faulty calibration, and mislabeled episodes before data reaches training.
Direct teleoperators by defining task protocols and standard operating procedures, onboarding them to new tasks and robot embodiments, reviewing session quality, and unblocking their daily work.
Own fleet reliability, including calibration and firmware pipelines, sensor and end-effector integration, root-cause analysis of recurring faults, and vendor escalation.
Bring up new stations and robot embodiments, and report throughput, yield, and data health to the research team.

Desired Qualifications

Experience with humanoid or bimanual platforms, including Unitree, Fourier, and ALOHA/ARX-class rigs, and dexterous hands.
Experience with XR teleoperation using Quest, PICO, or Vision Pro, motion-capture gloves, or whole-body retargeting.
Experience with imitation-learning data tooling, including LeRobot, HDF5/Zarr episode stores, dataset versioning, and S3 at terabyte-to-petabyte scale.
Experience building internal dashboards or tooling for a production line or high-throughput lab.
Open-source contributions to robotics data or teleoperation tooling.

Salary Range: 105 to 105 (Currency: USD) (Pay period: per-hour-wage)

Role Overview

We are looking for a Senior Software Engineer to own the systems that power a large-scale data collection operation, including the collection platform, operator tooling, data pipeline, and fleet infrastructure.

This is an engineering role. Day-to-day teleoperation is performed by a dedicated operator team that you direct — you build what they run on, and you own what comes out of it.

Project Details

Location: 100% Onsite (Santa Clara, CA, US)
Employment: Full-time W-2, Monday–Friday, 9:00 AM–5:00 PM
Start Date: ASAP
Contract Duration: 12-month contract with possibility of extension
Rate: $105/hour

What You’ll Do

Design, build, and maintain the software behind our data collection stations — teleoperation stack, multi-camera recording, and session tooling.

Deploy and upgrade that stack across the fleet without stopping collection; keep workstations, containers, and networking healthy.

Own the data pipeline end to end: automated validation, conversion into our dataset format, upload, metadata, and versioning.

Build the QA tooling that catches dropped frames, stream desync, bad calibration, and mislabeled episodes before data reaches training.

Direct a team of teleoperators — define task protocols and SOPs, onboard them on new tasks and embodiments, review session quality, and unblock them daily.

Own fleet reliability: calibration and firmware pipelines, sensor and end-effector integration, root-cause analysis of recurring faults, and vendor escalation.

Bring up new stations and new embodiments; report throughput, yield, and data health to the research team.

What we need to see

MS in CS, Robotics, EE/ME, or a related field (or BS with equivalent hands-on experience).
3+ years building software for real robot systems — not simulation only.
A system you designed and shipped that other people depended on daily, and that you kept running.
Strong Python and Linux; Docker, git, CI, and SSH-based fleet administration.
Robot middleware and real-time multi-sensor recording — ROS 2 or equivalent vendor SDKs.
Experience supporting a data collection or teleoperation operation: you have built the tools operators depend on and owned throughput and quality numbers.
Comfortable around robot hardware — arms or humanoids, dexterous hands, RGB-D cameras, and the calibration that keeps them honest.
Able to lead operators without formal authority: you write clear SOPs, train people, and communicate status without being asked.

Ways to stand out from the crowd

Humanoid or bimanual platforms (Unitree, Fourier, ALOHA/ARX-class rigs) and dexterous hands.
XR teleoperation: Quest / PICO / Vision Pro, motion-capture gloves, whole-body retargeting.
Imitation-learning data tooling — LeRobot, HDF5/Zarr episode stores, dataset versioning, S3 at TB–PB scale.
Built internal dashboards or tooling for a production line or high-throughput lab.
Open-source contributions to robotics data or teleoperation tooling.

#L1-CC1

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

To know more details (Click here)

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

About the Company

Welo Global

Multilingual AI-enabled technology and content provider

Welo Global coordinates five specialized brands to deliver multilingual AI, technology, and content solutions for blue-chip clients across 300+ languages. Welocalize handles AI-enabled localization for technology teams; Welo Data supplies multilingual AI training data and model evaluation; Park IP offers patent translation and IP workflows; Welo Life Sciences creates multilingual content for pharma and medical devices; Adapt focuses on global SEO and marketing translation. Proprietary platforms—Opal for content localization, NIMO for AI supply-chain security, Legal Studio for IP workflows, and Adapt Studio for marketing translation—support these services. The company aims to help clients scale global AI and content initiatives through high-quality multilingual data, precise localization, and technology-enabled services.

Company size: 5,001-10,000
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: Not listed

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