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Manager Ai Annotation Jobs in Ohio (NOW HIRING)

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 ...

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 ...

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 ...

... AI/ML)L algorithms and applications. As a Data Domain Architect Lead within the Data Annotation ... Manage and coach a team of Machine Learning Data Domain analysts to support data annotation and ...

Delivery Lead

Columbus, OH · On-site

$90K - $130K/yr

... year in AI data operations (RLHF, annotation, model evaluation) * STEM background or strong technical fluency * Python & REACT working knowledge * Experience managing distributed contributor ...

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Manager Ai Annotation information

What is the difference between Manager Ai Annotation vs Data Annotator?

AspectManager Ai AnnotationData Annotator
Required CredentialsBachelor's degree in related field, experience in AI projectsHigh school diploma or equivalent, on-the-job training
Work EnvironmentTeam management, project oversight, collaboration with data scientistsData labeling tasks, working with annotation tools
Industry UsageAI development, machine learning projectsData preparation for AI models
Search & Comparison IntentUnderstanding managerial roles in AI annotationEntry-level annotation tasks

The main difference between Manager Ai Annotation and Data Annotator lies in their responsibilities and experience. Managers oversee annotation projects, coordinate teams, and ensure quality, requiring leadership skills and experience. Data Annotators focus on labeling data accurately under supervision. Managers typically have higher credentials and work in strategic roles, while annotators perform the hands-on labeling tasks essential for AI training.

What are the most commonly searched types of Ai Annotation jobs in Ohio? The most popular types of Ai Annotation jobs in Ohio are:
What are popular job titles related to Manager Ai Annotation jobs in Ohio? For Manager Ai Annotation jobs in Ohio, the most frequently searched job titles are:

Full-time

Re-posted 7 days ago


Job description

Job Summary:
HumanSignal Services is a human data partner for companies building AI models and products. The Delivery Lead role is responsible for managing multiple high-stakes AI data projects, ensuring quality delivery outcomes, and collaborating with researchers and partners to drive operational excellence.
Responsibilities:
• 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
Qualifications:
Required:
• 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:
• 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
Company:
HumanSignal Services (formerly Erud AI) delivers high-fidelity, multimodal data for frontier and enterprise AI teams tackling complex, real-world problems. Founded in 2024, the company is headquartered in San Francisco, CA, US, , with a team of 2-10 employees. The company is currently Early Stage.