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Salary
$210k per year
Location
In office (Santa Clara)
Seniority
Senior · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Sep 14, 2026. Welo Global scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Welo Global is a language and data services company that supplies localisation, translation and training data to technology firms, life sciences companies and enterprises expanding internationally. Its work covers translation and multilingual quality assurance, localisation testing for games and software, data annotation and collection across many languages, and the human evaluation and preference work used to improve large language models. The company recruits linguists, annotators and subject-matter reviewers across dozens of languages, which is why it advertises a very high volume of part-time and contract roles tied to specific language pairs.

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.
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