Jobs in the United States

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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…
Added just now
EU
Automotive Product Quality Engineer
Experis USA
Auburn Hills, MI
- $34 to $37 USD / hour
As an Automotive Product Quality Engineer, you’ll help drive product development issue resolution, strengthen quality performance visibility, and support warranty and lessons-learned…
Added 1 min ago
Scientific Software Engineer
Entarian
Albuquerque, NM
Entarian is seeking a Scientific Software Engineer - RF/Space Weather Research to support the Air Force Research Laboratory (AFRL) Space Warfare Directorate.
Added 1 min ago
CL
Analytics Data Engineer
Carmichael Lynch, Inc.
Minneapolis, MN · Philadelphia, PA
- $85,000 to $95,000 USD / year
As a data engineer, you’ll work across a dynamic client roster designing and building data solutions that connect media, site, and marketing performance data into actionable insights. You…
Added 1 min ago
Assistant Transportation Engineer
Department of Transportation
Augusta, ME
A Bachelor’s Degree in Engineering or closely related field –OR- non-engineering college graduates and non-degreed candidates must possess a Certification of Engineer-Intern as issued by…
Added 2 mins ago
Full-Stack Software Engineer II
Doowii
Remote, United States
BS in computer engineering (or similar field with 6+ years of experience)
Added 2 mins ago
Manufacturing Engineer II
Textron Systems
New Orleans, LA
A Manufacturing Engineer II supports design, analysis, test and production operations for marine vessels. The ideal candidate should have a passion for manufacturing accompanied with…
Added 2 mins ago
CO
Director of Public Works
City of Sacramento
Sacramento, CA
- $93.36 to $120.37 USD / hour
Added 3 mins ago
Subject Matter Expert Electrical/Hardware Design Engineer
Torch Technologies, Inc.
Huntsville, AL
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
Added 3 mins ago
Director, Content Marketing
Fivetran
NY · Oakland, CA
…what our story sounds like instead, and how a skeptical data engineer and a busy executive each find a reason to believe…
Added 3 mins ago
Director, Content Marketing
Fivetran
Oakland, CA
…what our story sounds like instead, and how a skeptical data engineer and a busy executive each find a reason to believe…
Added 3 mins ago
Director, Content Marketing
Fivetran
Oakland, CA
…what our story sounds like instead, and how a skeptical data engineer and a busy executive each find a reason to believe…
Added 3 mins ago
Director, Content Marketing
Fivetran
Denver, CO · Oakland, CA
…what our story sounds like instead, and how a skeptical data engineer and a busy executive each find a reason to believe…
Added 4 mins ago
Field Service Engineer - PA
DC Group, Inc.
Remote, United States
This is a fully remote position for a Field Service Engineer in the state of Pennsylvania**
Added 5 mins ago
Senior C++ Software Engineer – Real Time Trading
Wolverine
Chicago, IL
At Wolverine Trading, we're looking for a Senior C++ Software Engineer to build and optimize the market data and execution systems at the heart of our trading operation. This role is…
Added 5 mins ago
Supplier Quality Manager
Panelmatic
Houston, TX
Bachelor’s degree in engineering or related technical field.
Added 5 mins ago
Senior Data Engineer, Ads Data (AI Native)
Life360
Remote, United States
…metrics, and self-serve access is growing. As a Senior Ads Data Engineer, you will own that platform on Databricks: making the existing pipelines faster, cheaper, and more reliable, and…
Added 6 mins ago
Principal - Engineer - Electrical
Eli Lilly and Company
United States
We are seeking a Principal Electrical Engineer to support the API manufacturing business in Houston. This engineer will be responsible for site power distribution systems in a GMP…
Added 6 mins ago
Principal - Engineer - Process (Critical Utilities)
Eli Lilly and Company
United States
We are seeking a Principal Process Engineer for Critical Utilities to support the API manufacturing business in Houston. This engineer will be responsible for critical utilities in a GMP…
Added 6 mins ago
Principal - Engineer - Process (Environmental Controls)
Eli Lilly and Company
United States
We are seeking a Principal Process Engineer for Environmental Controls to support the API manufacturing business in Houston. This engineer will be responsible for Environmental Controls…
Added 6 mins ago
Principal AI/ML Engineer – Data Analytics & AI
Lilly USA, LLC
United States
As a Principal AI/ML Engineer, you will design and build the engineering backbone for the AI and ML systems that serve business teams across Lilly USA: the orchestration frameworks,…
Added 6 mins ago
Reliability Engineer - Lilly Medicine Foundry
Eli Lilly and Company
United States
The Reliability Engineer increases the reliability of process and utility equipment in support of manufacturing research requirements for capacity, dependability, quality, safety,…
Added 6 mins ago
AI Scientist (Model Building & Training)
Eli Lilly and Company
United States
Making medicine that’s never been made means doing what’s never been done. If you’re an engineer, scientist, or builder who thrives on problems no one has solved before, this is your…
Added 6 mins ago
Systems Engineer - Field Solutions, Lilly USA Tech@Lilly
Lilly USA, LLC
United States
We are looking for a curious, hands-on Systems Engineer to join the Lilly USA field solutions team. This is an AI-first role: you will build AI-powered products for the field and use AI…
Added 6 mins ago
CE Data Architect
Eli Lilly and Company
United States
Codify PHI data classification across the ~300-field registry and ensure row/column-level security, masking, and tokenization boundaries are enforced architecturally - not merely documented.

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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