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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:
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.
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Please note: If participant is under 18 years old, this form must be completed by a parent or legal guardian.
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If you are the parent or legal guardian of a child participant ages 12-17, complete this question about yourself. If you are 18+, leave this question blank.
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This study includes children ages 12-17. If you would like your children to participate with you, please indicate this here.
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This study is interested in sibling pairs of the same biological gender within 5 years of age. If your sibling is located in Columbus, Ohio and could participate with you, please indicate that here.
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We offer a referral bonus of $25 for referrals who successfully complete the project.
If you have referrals for the project, please indicate their email addresses below. One email address per line. We will reach out to let them know they have been referred and ask them to apply.
We offer a referral bonus of $25 for referrals who successfully complete the project.
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