Data fills our modern world. It flows prolifically inside organizations, customer interactions, product usage, environmental research, healthcare imaging, and beyond. What if we could use any of this historical data to predict the future? In most cases, we can now make predictions through Machine Learning & AI, but to do so in a meaningful and impactful way, historical data needs to be accurate, comprehensive, and without bias.
To make the best predictions, we believe teams with domain expertise should be responsible for annotating and curating data. It's called data labeling, and it’s a process of real people giving meaning to the information they see on the screen. HumanSignal was founded to take data labeling operations to the next level and help data scientists make better predictions.
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The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
Love being active? Enjoy trying new things? Want to make some quick cash while helping build the future of AI?
We're looking for energetic people in Columbus, Ohio to participate in a super casual, fun data collection study. Think of it as getting paid to hang out, move around, and be yourself in front of a camera—no experience needed, no memorization, just you doing simple everyday actions!
Visit our Columbus location for a 90-minute session where you'll:
Ready to make some easy money while contributing to cutting-edge AI development? Sign up today!
Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal.
Demographic Information Disclosure: This research study requires the collection of demographic information (including but not limited to age, gender, ethnicity, and physical characteristics) to ensure appropriate diversity and representation in AI training data. All demographic information collected will be used solely for research purposes and handled in accordance with applicable privacy laws. Participation in this study is completely voluntary, and you have the right to decline participation or withdraw at any time without penalty. By participating, you consent to the collection of this demographic information as part of the study requirements.
Ready to apply?
Apply to HumanSignal
The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
Love being active? Enjoy trying new things? Want to make some quick cash while helping build the future of AI?
We're looking for energetic people in Columbus, Ohio to participate in a super casual, fun data collection study. Think of it as getting paid to hang out, move around, and be yourself in front of a camera—no experience needed, no memorization, just you doing simple everyday actions!
Visit our Columbus location for a 90-minute session where you'll:
Ready to make some easy money while contributing to cutting-edge AI development? Sign up today!
Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal.
Demographic Information Disclosure: This research study requires the collection of demographic information (including but not limited to age, gender, ethnicity, and physical characteristics) to ensure appropriate diversity and representation in AI training data. All demographic information collected will be used solely for research purposes and handled in accordance with applicable privacy laws. Participation in this study is completely voluntary, and you have the right to decline participation or withdraw at any time without penalty. By participating, you consent to the collection of this demographic information as part of the study requirements.
Ready to apply?
Apply to HumanSignal
The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
Love being active? Enjoy trying new things? Want to make some quick cash while helping build the future of AI?
We're looking for energetic people in Columbus, Ohio to participate in a super casual, fun data collection study. Think of it as getting paid to hang out, move around, and be yourself in front of a camera—no experience needed, no memorization, just you doing simple everyday actions!
Visit our Columbus location for a 90-minute session where you'll:
It's relaxed, straightforward, and way more fun than it sounds.
Friends and family are welcome! Even better—if you have siblings of the same gender with less than 5 years age difference, we'd especially love to have you both participate.
We also have opportunities for participants aged 12-17!
$100 per adult participant (18+) for just 90 minutes of your time!
BONUS: Earn $25 for every person you refer who completes the study! Know someone who'd be perfect for this? Send them our way and get paid when they participate.
You're perfect for this if you:
All backgrounds, body types, and experience levels welcome—we want real, diverse people!
Ready to make some easy money while contributing to cutting-edge AI development? Sign up today!
Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal.
Demographic Information Disclosure: This research study requires the collection of demographic information (including but not limited to age, gender, ethnicity, and physical characteristics) to ensure appropriate diversity and representation in AI training data. All demographic information collected will be used solely for research purposes and handled in accordance with applicable privacy laws. Participation in this study is completely voluntary, and you have the right to decline participation or withdraw at any time without penalty. By participating, you consent to the collection of this demographic information as part of the study requirements.
Ready to apply?
Apply to HumanSignal
The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
About the Role
This role is not for everyone.
We're looking for someone with a founder's mindset to lead our Columbus data collection facility — someone who gets energy from building something from scratch, isn't precious about job titles, and wants a front-row seat to the most consequential technological shift of our generation.
You'll manage daily operations, own project delivery, recruit talent, solve problems that don't have playbooks yet, and do a lot of things that aren't glamorous but are the core of running a real business. Coordinating schedules, chasing down compliance paperwork, building tracking systems, showing up when something breaks. If that sounds exhausting, this isn't the right fit. If that sounds like exactly where you learn the most — keep reading.
The upside is real. You'll work at the intersection of human intelligence and frontier AI, understand this space from the inside out, and grow fast in a company that's scaling quickly with major clients and a clear mission.
What You'll Do
Run the operation Lead day-to-day facility operations with full onsite presence during active projects. You'll own execution from setup to delivery — quality, timelines, logistics, and everything in between. When something goes sideways, you figure it out. You are the eyes and ears of onsite work and must be able to escalate appropriately when you need support with the norm being that you can create a solution.
Build the team Recruiting is a core part of this role. You'll develop pipelines, run outreach campaigns, build relationships with local universities and community organizations, and conduct screenings. You are the talent engine for Columbus.
Keep everything tight Meticulous documentation, scheduling, resource tracking, compliance, and reporting. This is the stuff that makes the difference between a facility that runs well and one that doesn't. You'll own it and take pride in it.
Bridge to HQ Coordinate with central teams on project planning, escalations, and resource needs. You're the face of HumanSignal in Columbus and the connective tissue between local operations and company-wide strategy.
What You Bring
You're technical enough to vibe-code your way through problems in Python (React experience is a plus), but your superpower is getting things done in the real world — not just in code. You've recruited and managed teams before, you know how to manage competing priorities without losing the details, and you operate well with minimal oversight. Extreme attention to detail and obsession with winning is a must.
Most importantly: you want to learn. You're drawn to hard problems and early-stage environments. You understand that the un-fun parts of a business are what make it work, and you don't look for someone else to handle them.
This role is 100% onsite during active project periods. This a requirement - this role is not open for remote work.
Compensation
We pay based on regional market rates. For this role, the base cash compensation range is $72,000–$90,000 USD. Final offers reflect your experience, expertise, and the scope of what you'll own.
Come build with us!
Ready to apply?
Apply to HumanSignal
The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
Software Engineering Intern - AI Data Operations
HumanSignal | Columbus, Ohio | Hybrid | Spring/Summer 2026
About Us
HumanSignal builds Label Studio Enterprise, the data annotation platform trusted by Fortune 500 companies including Apple. We're expanding our 400+ person Columbus facility and need engineering talent to build systems that power AI training pipelines.
What You'll Build
Technical Skills (Strong in Several Required)
Bonus: AWS S3, email integration, real-time updates, admin dashboards
Who You Are
Details
To Apply
Email resume, GitHub, and brief note to careers@humansignal.com including:
HumanSignal is committed to building a diverse team. We encourage applications from candidates of all backgrounds.
We're moving fast—strong candidates will be interviewed on a rolling basis.
Ready to apply?
Apply to HumanSignal
The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
HumanSignal is revolutionizing how the world's most advanced AI systems are built. As the creators of Label Studio, the world's most flexible data labeling platform, and through our newly formed HumanSignal Services division (after our recent acquisition of Erud AI), we're at the forefront of manufacturing the purpose-built datasets that power breakthrough AI applications.
Our mission is clear: harness human intelligence to power the future of AI. We work with frontier labs and the world's largest enterprises to remove data bottlenecks and enable innovation at velocity. Through our Data Creation Laboratories, we don't just label data—we manufacture it from scratch in controlled environments, creating the novel datasets that novel AI applications demand.
We're seeking a dynamic, hands-on Office Manager/Site Leader to lead our Columbus data collection facility. This is an onsite leadership role where you'll be the face of HumanSignal in Columbus—managing day-to-day operations, driving project delivery excellence, and building our local talent pipeline in one of the fastest-growing AI data markets.
This role requires someone who can wear many hats: operations leader, recruiter, marketer, and problem-solver. You'll be 100% onsite when projects are in progress, ensuring flawless execution while simultaneously building the systems and teams that enable us to scale.
Onsite Operations Leadership
Talent Acquisition & Growth
Marketing & Community Building
Detail-Oriented Operations Management
Required Qualifications
Ideal Background
At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $68,000 to $82,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.
Ready to apply?
Apply to HumanSignal
The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
HumanSignal is revolutionizing how the world's most advanced AI systems are built. As the creators of Label Studio, the world's most flexible data labeling platform, and through our newly formed HumanSignal Services division (after our recent acquisition of Erud AI), we're at the forefront of manufacturing the purpose-built datasets that power breakthrough AI applications.
Our mission is clear: harness human intelligence to power the future of AI. We work with frontier labs and the world's largest enterprises to remove data bottlenecks and enable innovation at velocity. Through our Data Creation Laboratories, we don't just label data—we manufacture it from scratch in controlled environments, creating the novel datasets that novel AI applications demand.
We're seeking a dynamic, hands-on Operations Specialist to lead our Columbus data collection facility. This is an onsite leadership role where you'll be the face of HumanSignal in Columbus—managing day-to-day operations, driving project delivery excellence, and building our local talent pipeline in one of the fastest-growing AI data markets.
This role requires someone who can wear many hats: operations leader, recruiter, marketer, and problem-solver. You'll be 100% onsite when projects are in progress, ensuring flawless execution while simultaneously building the systems and teams that enable us to scale.
Onsite Operations Leadership
Talent Acquisition & Growth
Marketing & Community Building
Detail-Oriented Operations Management
Required Qualifications
Ideal Background
At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $68,000 to $82,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.
Ready to apply?
Apply to HumanSignal
The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
HumanSignal is revolutionizing how the world's most advanced AI systems are built. As the creators of Label Studio, the world's most flexible data labeling platform, and through our newly formed HumanSignal Services division (after our recent acquisition of Erud AI), we're at the forefront of manufacturing the purpose-built datasets that power breakthrough AI applications.
Our mission is clear: harness human intelligence to power the future of AI. We work with frontier labs and the world's largest enterprises to remove data bottlenecks and enable innovation at velocity. Through our Data Creation Laboratories, we don't just label data—we manufacture it from scratch in controlled environments, creating the novel datasets that novel AI applications demand.
We're seeking a dynamic, hands-on Operations Administrator to lead our Columbus data collection facility. This is an onsite leadership role where you'll be the face of HumanSignal in Columbus—managing day-to-day operations, driving project delivery excellence, and building our local talent pipeline in one of the fastest-growing AI data markets.
This role requires someone who can wear many hats: operations leader, recruiter, marketer, and problem-solver. You'll be 100% onsite when projects are in progress, ensuring flawless execution while simultaneously building the systems and teams that enable us to scale.
Onsite Operations Leadership
Talent Acquisition & Growth
Marketing & Community Building
Detail-Oriented Operations Management
Required Qualifications
Ideal Background
At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $68,000 to $82,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.
Ready to apply?
Apply to HumanSignal
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