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Ground Truth Jobs (NOW HIRING)

To validate our portable hardware and train our predictive machine learning models, we need a high volume of ground-truth data. We are in the process of building our lab; we need a tech-forward ...

$150 - $278/hr

Build AI-ready datasets through ground truth creation, data curation, annotation workflows, dataset versioning, and metadata management.Develop data quality frameworks, validation pipelines ...

We unlock ground truth for the enterprises that power the global economy. There are billions of important conversations taking place in real time each day in hospitality, food service, retail ...

Develop ground-truth and sensor-fidelity models for camera, LiDAR, radar, GNSS, and inertial sensors. * Support virtual validation initiatives to reduce physical testing requirements. * Integrate ...

Principal Product Manager

Gilbert, AZ · On-site

$120K - $140K/yr

Act as primary source of ground-truth FI insight -- ensuring what we build is grounded in how financial institutions actually operate. * Play a major, ongoing role in Kinective's client advisory ...

Partner with the Ground Truth team to make sure our activity taxonomy reflects what's actually happening on site. The trades, sequences, and edge cases that generic categories miss. * Help decide ...

At home in ground truth ambiguity. Building detections when ground truth is scarce is the heart of this job. You make real progress with weak, delayed, or absent labels and you're energized by ...

ML Engineer

Los Angeles, CA · On-site

$132K - $165K/yr

You'll partner closely with our Data Science and Engineering teams on our vector embeddings ecosystem, ground truth pipelines, model evaluation, and the pre/post-processing decisions that determine ...

Founding AI Engineer

San Francisco, CA · On-site

$225K - $255K/yr

Build eval harnesses and benchmarks that use tracked pricing outcomes as ground truth. * Systematize and automate expert review workflows that are currently done manually. * Develop AI personas that ...

Showing results 41-60

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How much do ground truth jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ground truth in the United States is $20.89, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $26.20 per hour, depending on experience, location, and employer.

What is a ground truth?

A Ground Truth job typically involves labeling, annotating, or verifying data to improve the accuracy of machine learning models. This can include tasks such as image or text annotation, audio transcription, or validating AI-generated outputs. The role is essential for training AI systems to recognize patterns and make accurate predictions by providing high-quality reference data. Ground Truth work is commonly found in industries like autonomous vehicles, healthcare AI, and natural language processing.

What are the typical daily responsibilities of a ground truth specialist?

As a Ground Truth specialist, your daily tasks usually involve reviewing, annotating, and validating large volumes of data such as images, audio, or text to ensure quality and consistency. You may be required to follow detailed annotation guidelines, utilize specialized software tools, and sometimes provide feedback to improve labeling processes. Collaboration with data scientists, machine learning engineers, and other annotators is common, as the team works together to resolve ambiguities and maintain high data standards. This role is integral in ensuring that artificial intelligence models are trained with precise and accurate data, ultimately influencing the effectiveness of automated systems.

What are the key skills and qualifications needed to thrive in the ground truth position?

To thrive as a Ground Truth specialist, you need strong attention to detail, analytical thinking, and proficiency in data annotation or validation tasks, often supported by a background in computer science or related fields. Familiarity with annotation tools, data labeling platforms, and sometimes understanding of machine learning technologies is typically required. Excellent communication, time management, and the ability to work collaboratively in a team environment are essential soft skills. These abilities ensure the accuracy and reliability of labeled data, which is crucial to the success of AI and machine learning projects.

What cities are hiring for Ground Truth jobs?

Cities with the most Ground Truth job openings:

What are the most commonly searched types of Ground Truth jobs?

The most popular types of Ground Truth jobs are:

What states have the most Ground Truth jobs?

States with the most job openings for Ground Truth jobs include:

What job categories do people searching Ground Truth jobs look for?

The top searched job categories for Ground Truth jobs are:

Infographic showing various Ground Truth job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $43,456 per year, or $20.9 per hour.

Lab Manager

Omen AI

San Francisco, CA • On-site

Full-time

Re-posted 16 days ago


Job description

Lab Manager
Location: San Francisco (In-person)
Who We Are
Omen is miniaturizing lab-grade spectroscopy into field-deployable embedded
sensors. Our systems deliver PPM-level trace analysis reports on the fluids in
industrial machines and datacenters, allowing us to detect complex wear trends
like hydraulic cylinder failures or coolant contamination in real-time. With this
data we can automatically match anomalies with failure modes weeks to months
before catastrophic failure occurs.
Our team is a tightly knit group of ~20 builders, dropouts, and industry veterans.
We don't build things that are good enough, we build things that are 100x better.
The Challenge
We are currently developing two primary systems:
• Omen Scout: for closed-loop hydraulic and lubricating oils.
• Omen Sentry: for direct-to-chip liquid cooling loops (typ. water/glycol
mixtures).
To validate our portable hardware and train our predictive machine learning
models, we need a high volume of ground-truth data. We are in the process of
building our lab; we need a tech-forward expert to own it and bring professional
analytical chemistry standards into our fast moving startup environment.
What You Will Do
• Establish Lab Standards: Bring the rigor of a professional analytical
chemistry lab to our R&D facility. Our machine learning and hardware
teams rely entirely on your results as their ground truth. You must
implement rigorous QA/QC practices, including running blanks, calibration
curves, spike recoveries, and monitoring for instrument drift.
• Integrate: Develop robust sample preparation methodologies for
challenging fluids (industrial oils and liquid cooling mixtures). You will
handle the day-to-day processing and testing of these samples while we
build out the automated pipeline.
• Automate: Collaborate closely with the R&D team to transition manual
sample prep and testing into a software-defined automated pipeline. You
will help define the analytical workflows and test plans that our SCARA
robots will execute.
• Supply Chain & Inventory: Manage procurement for all lab consumables,
reagents, specialty gases, and calibration standards. Assist in
management/procurement for adjacent equipment like resin 3d printers.
• Safety & Compliance: Establish and enforce safety protocols. You will
independently set up our hazardous waste management streams (acid
waste, solvent waste, oil disposal) and ensure compliance with local
environmental regulations.
What We Are Looking For
• A professional background in chemistry or analytical chem is strongly
preferred, with bio experience as a plus. We are open to candidates from a
primarily biology-oriented background provided you have some
experience with organic and/or physical chemistry.
Why Omen?
We take the physics seriously, but we don't let red tape slow us down. If you want
to own a fascinating chemistry problem from the ground up and build something
that protects the most expensive infrastructure on the planet, we want to talk to
you.