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Project Hydra | Senior Software Engineer - Robot Data Collection

Welo GlobalLegit · not rated yetPosted on 14 Sep 2026

Pay: $105/hr

Who can apply
Open only to people in United States
Hours
Hours vary · Full-time
Where
In person at a site in Santa Clara, CA
Job type
Data annotation

At a glance: A full-time, in-person data annotation job with Welo Global. It pays $105/hr, with hours that vary. Only people in United States can apply.

  • In-person job

    This work happens at a site, not from home. Check the location in the listing before you apply.

What happens after you click Apply

  1. You leave AI Trainer HQ and go to Welo Global’s own site.
  2. Apply to a listing
  3. Assessment
  4. Onboarding

How this pay compares

This job pays more than 84% of the 205 other software engineering jobs on the board that state pay; 16% pay more.

This job
$105/hrAs listed
Median on Welo Global
$19/hrFrom 129 other paid jobs
Median in software engineering
$65/hrFrom 205 other paid jobs
How we compare pay

Requirements

Qualifications
  • Not specified in the listing
Languages
  • English
Equipment
  • Webcam

About this job

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.

Listing history

First seen on our board
(9 days ago)
Posted by Welo Global
Last checked
Source
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