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HumanSignal

Data Study Moderator

Columbus , United States

AI overview

Engage in a dynamic AI training project by moderating data collection sessions and supporting diverse participants while ensuring high-quality data is captured.

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.

Data Collection Study Moderator — Columbus, Ohio

$22/Hour | Up to 39 Hours/Week | 6-Week Assignment

Are you organized, personable, and great at working with people? Do you thrive in fast-paced environments where no two days are the same?

We're hiring a Data Collection Study Moderator in Columbus, Ohio to help lead our exciting onsite AI training data collection project. This is a fantastic short-term opportunity to gain unique experience while earning competitive pay!

What You'll Do

As a Data Collection Study Moderator, you will:

  • Guide and direct study participants through data collection sessions
  • Provide clear, friendly instructions to ensure participants feel comfortable and understand each task
  • Coordinate session flow and manage participant schedules throughout the day
  • Work with technical team members capturing images, video, and audio recordings
  • Ensure data quality by monitoring participant actions and providing real-time feedback
  • Maintain a positive, welcoming environment for all participants
  • Help set up and organize props, backgrounds, and equipment as needed
  • Track session progress and maintain accurate records

What We're Looking For

Must-Have Qualities:

  • Organized — you can manage multiple sessions, schedules, and participants efficiently
  • Reliable — you show up on time, every time, and follow through on commitments
  • Responsible — you take ownership of your role and ensure everything runs smoothly

Additional Requirements:

  • Strong interpersonal and communication skills — you're naturally friendly and put people at ease
  • Ability to give clear directions and help participants perform specific actions or movements
  • Experience working with diverse groups of people (all ages and backgrounds)
  • Excellent attention to detail
  • Ability to stay calm and positive in a busy environment
  • Flexibility and adaptability — you can think on your feet
  • Reliable transportation to our Columbus, Ohio location
  • Availability to work up to 39 hours per week for 6 weeks

Bonus points for:

  • Previous experience in event coordination, teaching, coaching, or customer service
  • Comfort working with technology and following technical protocols
  • Experience working with children and families

What We Offer

  • $22/hour — competitive pay for your time and skills
  • Up to 39 hours per week — substantial earning potential
  • 6-week initial assignment with opportunity for extension based on performance
  • Hands-on experience in AI development and data collection
  • Dynamic, engaging work environment
  • Opportunity to work with cutting-edge technology

This role offers a unique behind-the-scenes look at how AI technology is built, and the chance to make a real impact on the quality and diversity of AI training data.

About the Role

Duration: 6 weeks with strong possibility of extension for high performers
Hours: Up to 30 hours per week (schedule may vary based on session demand)
Location: Columbus, Ohio (onsite position)
Start Date: Immediate or flexible based on availability

Ready to lead, engage, and be part of something innovative? Apply today!

Important: This is a part time W2 short term contract opportunity with HumanSignal and does not include medical benefits.

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.

HumanSignal

We build software that helps people do what only they can do – give meaning. 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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