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Information Systems Security Engineer
Saliense LLC
Arlington, VA
Job Title: Information Systems Security Engineer (ISSE)
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EU
Software System Test Engineer
Experis USA
Santa Clarita, CA
- $55 to $65 USD / hour
We are seeking an experienced Software Systems Test Engineer to support R&D and engineering initiatives. The ideal candidate will have strong Python programming skills, hands-on system and…
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Windows Server Administrator
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…their team. As a Windows Server Administrator, you will help engineer, administer, secure, and troubleshoot enterprise Windows Server and Active Directory services - supporting reliable…
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- $34 to $37 USD / hour
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Senior Snowflake Data Engineer
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AI Engineer
Experis USA
Charlotte, NC
- $70 to $80 USD / hour
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Scientific Software Engineer
Entarian
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Entarian is seeking a Scientific Software Engineer - RF/Space Weather Research to support the Air Force Research Laboratory (AFRL) Space Warfare Directorate.
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Associate Data Engineer
Visa Technology and Operations LLC
Foster City, CA
…jobs to enable secure, scalable, and high-quality technology solutions. They work hands-on with code, data, and modern tools, collaborating with cross-functional teams to translate business…
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Staff SW Engineer - Front-End / UI
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Analytics Data Engineer
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Lead Engineer, Full-Stack Engineering
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Performs canister repairs and handles overall troubleshooting of machine at the direction of Engineer.
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Pharmacy Technician
AmerisourceBergen Services Corporation
United States
- From $25.63 USD / hour
Performs canister repairs and handles overall troubleshooting of machine at the direction of Engineer.
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Director of Land Development
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- $150,000 to $210,000 USD / year
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Experienced Software Development Engineer
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Hazelwood, MO
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Director of Pre-Development Services - Global Facilities
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Lead Data Engineer
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Subject Matter Expert Electrical/Hardware Design Engineer
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Senior Director, Process Engineer PMTS
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Senior C++ Software Engineer – Real Time Trading
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Senior Software Engineer - Vehicle Health Management
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Sr. Software Engineer - Core Systems
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We are looking for a hands-on software engineer with strong system design skills, deep server-side engineering experience, and the curiosity to work across a complex enterprise platform.…

Tonic AI

Forward Deployed Engineer, Data De-Identification (Co-op)

Remote, United States

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Job details

Working hours: 20 hours a week
Posting language: English
Posted: Nov 9, 2026

Original job description

Remote · Co-op, about 20 hours a week · Current students welcome

Tonic.ai http://Tonic.ai has been de-identifying sensitive data since 2018, and hundreds of enterprises use our products, among them eBay, UnitedHealth Group, Qualcomm, Commonwealth Bank, and Mercor. Our newest line of business takes that work somewhere it hasn't gone before: company operating data. Email, chat, tickets, documents, code, CRM and HR records are some of the most valuable training data left for AI labs, and almost none of it can change hands until the people in it are protected.

We sit between the company that owns the data and the lab that wants it, as the independent third party. We take in the corpus, find the people and organizations referenced across all of those systems, give each real identity one consistent synthetic replacement, rebuild every file in its original format, and deliver the result with a written report on how it was done. The data still reads like a company doing its work, which is what makes it worth training on.

WHY THIS ROLE, WHY NOW

Demand is running ahead of our capacity to deliver. Labs are buying, data owners are selling, and the buyers want datasets in days to weeks, not quarters. The technology can meet that timeline. What turns it into a delivered dataset is an engineer who can take a messy, half-documented corpus from a new client, get it through the pipeline, catch what breaks, and ship something both sides will sign off on.

That's this job. You'll be one of the first engineers dedicated to this business, working directly with our technical founders, data science team, and platform engineers, and getting close to the frontier AI labs that are the end buyers of this data.

This is a co-op role at roughly 20 hours a week. We welcome current students alongside experienced engineers looking for part-time work.

WHAT YOU'LL DO

Own the delivery of client de-identification projects, from the first look at the raw data to a dataset the client accepts.
Run each corpus through our de-identification pipeline and check the output for accuracy: missed entities, wrong replacements, identities merged or split incorrectly, files that won't rebuild.
Diagnose problems as they appear. Where you can, fix them for the whole solution or for the one case. Where you can't, understand the issue well enough to explain it clearly to the engineer who can.
Rerun the pipeline, confirm the fix worked, then move on to the next step, which often includes working with our annotation team to validate quality.
Build and adjust the ingestion and transformation steps that turn raw exports (mailboxes, chat archives, document dumps, ticketing systems, databases) into processed, ready-to-use datasets.
Write code that gets merged, within the guardrails of our existing platform, including custom handling for client-specific one-offs.
Run reconciliation checks so file counts and content tie from ingest to delivery.
Contribute to the technical sections of the client report: what was treated as sensitive, what was kept and why, how each file type was handled, and known limitations.
Walk clients through what was done and the resulting data, alongside Tonic's founders at first and on your own as you grow.
Turn every one-off fix into something reusable: documentation, runbooks, and improvements to the product.

WHAT WE'RE LOOKING FOR

A bachelor's degree in a technical field (computer science, engineering, math, statistics, physics, bioinformatics, or similar), or currently enrolled in one.
Hands-on work in data engineering, backend engineering, or a solutions/forward-deployed role where you shipped production systems for customers. Internships, co-ops, research, and substantial projects count.
Strong experience in Python and other backend programming languages, plus SQL. Comfortable reading and debugging other people's code.
Experience building repeatable pipelines that process large volumes of structured, semi-structured, and unstructured data. You understand how data flows through a system and can tell when output is wrong.
AI-native workflow. AI tools and agents are central to how you work, not an add-on. You know where they're reliable, where they need your oversight, and you don't trust their output without checking it.
Self-direction. You'll often be the only engineer on an engagement, and you'll need to make sound calls without waiting for someone to tell you what to do.
Clear communication with very different audiences. You can walk a client's engineer through a pipeline failure in the morning and explain a tradeoff to a senior executive in the afternoon.
A record of delivering complex projects on short timelines, measured in days and weeks.
Availability for roughly 20 hours a week, with enough flexibility to keep client engagements on schedule.

NICE TO HAVES

Experience with model inference, ML pipelines, or PyTorch.
Experience building or maintaining data masking, de-identification, ETL or synthetic data tooling.
Interest in working close to frontier AI labs and the training-data ecosystem.
Experience at an early-stage company or on a new product line.

WHAT SUCCESS LOOKS LIKE

In your first month, you'll learn the platform and the delivery process and run part of a live engagement alongside the team. By the end of your first quarter, you'll be running engagements on your own, from scoping to delivery, and the runbooks and tooling you've written will have made the second and third ones faster than the first. After that, you'll help shape how this function grows.

WHY JOIN

You'll be early in a fast-growing business solving a problem the AI industry doesn't yet have a good answer for.
You'll work alongside technical founders, with a direct line from what you see in the field to what gets built.
You'll get close to the frontier AI labs and build experience at the center of the training-data market.
The work matters beyond any one deal: getting company data to labs without exposing the people in it is a problem the whole industry has to solve.
Competitive compensation.

Tonic.ai is an equal opportunity employer. We're building a team that reflects the diversity of our users and the problems they're trying to solve.

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