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Ai Data Collection Jobs in Ohio (NOW HIRING)

Delivery Lead

Columbus, OH · On-site

$90K - $130K/yr

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 ...

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 ...

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 ...

High Volume (TOFU) Recruiter

Columbus, OH · On-site +1

$55K - $100K/yr

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 ...

Lead AI and Data Science Engineer II

Dayton, OH · On-site

$99K - $131K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ... collection through analysis and synthesis of findings. * Provide structure and oversight for ...

Showing results 21-40

Ai Data Collection information

What does a typical day look like for someone working in AI data collection?

A typical day often involves reviewing and labeling large sets of data—such as text, images, or audio—using specialized annotation tools or platforms. You might also collaborate with data engineers, project managers, or AI researchers to clarify data requirements and resolve ambiguities. The role usually requires a balance of independent, detail-oriented work and regular team check-ins to ensure consistency and quality across datasets. Adhering to project deadlines and quality guidelines is essential, and there may be opportunities to automate repetitive tasks or improve data protocols over time.

What is an AI data collection?

An AI Data Collection job involves gathering, labeling, and curating datasets used to train and improve artificial intelligence models. This can include collecting text, images, audio, or video data from various sources while ensuring its accuracy and relevance. Professionals in this role may also clean and organize data to make it usable for machine learning algorithms. Ethical considerations, such as privacy and bias, are important aspects of the job. Strong attention to detail and familiarity with data management tools are often required.

How to be an AI data collector?

To become an AI data collector, you should have strong attention to detail and basic computer skills, as the role involves gathering and labeling data for machine learning models. Familiarity with data annotation tools and understanding of data privacy standards are also beneficial. Typically, this job requires completing relevant training or tutorials and may involve flexible or remote work arrangements.

What are the key skills and qualifications needed to thrive in AI data collection, and why are they important?

To thrive in AI Data Collection, you need strong analytical skills, attention to detail, and knowledge of data management principles, often supported by a background in computer science or a related field. Familiarity with data annotation tools, spreadsheets, programming languages like Python, and experience using data labeling or crowdsourcing platforms is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are valuable soft skills in this position. These skills enable accurate, efficient data collection and ensure datasets meet the quality standards necessary for training and validating AI models.

What are the most commonly searched types of Ai Data Collection jobs in Ohio? The most popular types of Ai Data Collection jobs in Ohio are:
What are popular job titles related to Ai Data Collection jobs in Ohio? For Ai Data Collection jobs in Ohio, the most frequently searched job titles are:
Infographic showing various Ai Data Collection job openings in Ohio as of August 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution.

Delivery Lead

HumanSignal

Columbus, OH • On-site

$90K - $130K/yr

Full-time

Re-posted 12 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.
Level: Manager
Compensation: $90,000 - $130,000
Location: 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 remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design through final delivery, running on-site and distributed expert workforces across 50+ knowledge domains, 30+ languages, and 75+ countries. Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label Studio Enterprise and built on a foundation of rigorous quality workflows, ethical sourcing, and full data security. This role sits at the operational core of that delivery engine - responsible for ensuring our clients get the highest-quality data on time, every time.
This role is not for everyone. HumanSignal Services operates at the intersection of frontier AI research and large-scale human data delivery - and the work is fast, demanding, and unforgiving of dropped balls. You'll own complex, high-stakes data programs end-to-end, managing expert workforces, navigating shifting customer requirements, and holding quality and delivery timelines simultaneously. There is no playbook handed to you. You will build it, break it, and rebuild it better. If you thrive under pressure, take personal pride in operational excellence, and don't quit when a project gets hard - this is the role for you
What You'll Do
The day-to-day is intense by design. You'll juggle multiple programs at once, each with its own contributors, quality standards, and customer expectations. You'll make hard calls with incomplete information, hold contributors and vendors accountable, and find creative solutions to problems that don't have obvious answers. The expectation is simple: own the outcome, no excuses. High performers here grow faster than anywhere else in the industry. The bar is high - and that's the point.
  • Lead and manage a team of Strategic Project Leads (SPLs) across multiple high-stakes AI data projects simultaneously
  • Own delivery outcomes for your projects: throughput, quality, SLA performance, cost efficiency, and customer satisfaction
  • Drive delivery across custom data pipelines and expert labeling workflows, translating researcher requirements into clear operational plans
  • Collaborate with AI lab researchers and procurement partners to define data strategies, scope programs, and resolve escalations
  • Drive systems-level improvements - standardize playbooks, improve tooling, and build infrastructure that makes the team faster and more reliable at scale
  • Coach and develop SPLs; ensure high-quality AI Trainer experience and strong contributor retention
  • Partner with Product and Engineering to evolve internal tooling, automation, and operational systems
Required Qualifications
  • 5+ years in operationally intensive roles (marketplace, data ops, logistics, or similar)
  • 1+ year of people management with clear impact on team performance
  • Metrics-driven with a systems-thinking approach to operations
  • Experience owning delivery outcomes across multi-stakeholder, high-velocity projects
  • Hands-on operator willing to dive into execution when needed
  • Must be proficient in using LLMs in your every day work, including building scripting logic and working with large datasets with LLM assistance
Preferred Qualifications
  • 1+ year in AI data operations (RLHF, annotation, model evaluation)
  • STEM background or strong technical fluency
  • Python & REACT working knowledge
  • Experience managing distributed contributor workforces at scale
  • Background in management consulting, investment banking, or high-growth startups

HumanSignal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. HumanSignal does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law. We are committed to working with and providing reasonable accommodations to individuals with disabilities.