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Data Annotation Research Jobs in Columbus, OH (NOW HIRING)

HumanSignal

Delivery Lead

Columbus, OH · On-site

$90K - $130K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

HumanSignal

Delivery Lead

Columbus, OH · On-site

$90K - $130K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

HumanSignal

Delivery Lead

Columbus, OH

$90K - $130K/yr

Onsite in Columbus, Ohio About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation - delivering the datasets that frontier AI research requires and ...

HumanSignal

High Volume (TOFU) Recruiter

Columbus, OH · On-site +1

$55K - $100K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

HumanSignal

Operations Admin

Columbus, OH · On-site

$70K - $85K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

HumanSignal

Operations Admin

Columbus, OH · On-site

$70K - $85K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

All JobsData Annotation Research JobsData Annotation Research Jobs in Columbus, OH

Data Annotation Research information

What is data annotation research?

Data annotation research involves studying and developing methods for labeling data, such as images, text, or audio, to be used in training machine learning models. Researchers in this field focus on improving annotation accuracy, efficiency, and scalability, as well as addressing challenges like bias and consistency. This work is critical because high-quality annotated data is essential for building effective AI systems. Data annotation research often includes exploring new tools, techniques, and guidelines for human annotators or automated labeling systems.

What are the key skills and qualifications needed to thrive as a data annotation researcher, and why are they important?

To thrive as a Data Annotation Researcher, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a degree in computer science, linguistics, or a related field. Experience with annotation platforms, data management tools, and sometimes knowledge of programming languages like Python are typically required. Excellent communication, problem-solving abilities, and the capacity to work independently set standout contributors apart. These skills ensure high-quality, accurate data labeling, which is crucial for developing reliable AI and machine learning models.

What are some common challenges faced in data annotation research roles, and how can they be addressed?

Professionals in Data Annotation Research often encounter challenges such as maintaining consistency in labeling, dealing with ambiguous data, and managing large datasets efficiently. These issues can be addressed by following detailed annotation guidelines, participating in regular calibration sessions with the team, and utilizing annotation tools that support quality control checks. Collaboration with data scientists and project managers is essential to clarify ambiguities and ensure that annotated data meets the project's requirements. Staying proactive in communication and continuous learning helps to minimize errors and improve overall data quality.

What is the difference between Data Annotation Research vs Data Labeling Specialist?

AspectData Annotation ResearchData Labeling Specialist
CredentialsTypically requires a background in data science, research methods, or related fieldsOften requires basic technical skills and experience with labeling tools
Work EnvironmentResearch labs, tech companies, or remote research teamsData centers, tech companies, or remote labeling teams
Industry UsageUsed in AI/ML research, developing annotation methodologiesUsed in preparing datasets for machine learning models
Search & Comparison IntentUnderstanding research-focused roles in data annotationLooking for practical data labeling jobs

Data Annotation Research involves exploring new annotation techniques and improving data quality for AI models, often requiring research skills. In contrast, Data Labeling Specialists focus on applying existing labeling tools to annotate datasets efficiently. Both roles are essential in AI development but differ in scope and expertise.

What job categories do people searching Data Annotation Research jobs in Columbus, OH look for?

The top searched job categories for Data Annotation Research jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Data Annotation Research jobs?

Cities near Columbus, OH with the most Data Annotation Research job openings:

Data Annotation Research jobs near you
Infographic showing various Data Annotation Research job openings in Columbus, OH as of June 2026, with employment types broken down into 4% As Needed, 11% Full Time, 65% Part Time, 2% Temporary, 16% Contract, and 2% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Study Participant (Columbus, Ohio)

HumanSignal

Columbus, OH

$100/day

Full-time

Re-posted 27 days ago

Job description

About HumanSignal

Real-world data is the competitive edge in AI.

HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.


We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.


We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.


If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.

Get Paid $100 for 90 Minutes of Fun!

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!

What You'll Do

Visit our Columbus location for a 90-minute session where you'll:

  • Perform easy, everyday activities like walking, gesturing, talking, and moving around
  • Work with our friendly team who'll capture images, videos, and audio
  • Try different setups with various props, backgrounds, and lighting
  • Just be yourself—no acting skills required!
  • Share 8-10 photos from your photo library to aid the study
Why You'll Love This
  • Quick cash — $100 for 90 minutes
  • Zero pressure — just be yourself and have fun
  • Bring your people — friends and family can join
  • Referral bonuses — earn $25 per successful referral
  • Help shape AI technology that learns from real human movement and expression
  • Flexible scheduling — find a time that works for you

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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