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Manager Ai Annotation Jobs (NOW HIRING)

NEURA Robotics

Your mission & challenges As an AI Data Annotation Specialist, you will operate at the intersection of data ingestion, processing, and machine learning. Your primary responsibility is to design and ...

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$35.5K

$102.3K

$165K

How much do manager ai annotation jobs pay per year?

As of Sep 11, 2026, the average yearly pay for manager ai annotation in the United States is $102,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $129,000.00 per year, depending on experience, location, and employer.

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.

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Manager Ai Annotation jobs near you
Infographic showing various Manager Ai Annotation job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $102,286 per year, or $49.2 per hour.

Data Annotation Program Lead

Louisville, KY • On-site

SumasEdge Corporation
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This job post has expired today. Applications are no longer accepted.

Job description

We are looking for an Annotation Program Lead to manage our AI Quality Annotation Program. This individual will oversee the operational execution of human review activities that establish the gold-standard datasets used to measure conversational AI performance, safety, and compliance.

The ideal candidate combines strong program management skills with experience in quality assurance, data annotation operations, and stakeholder engagement.

Lead the day-to-day operation of the AI annotation program.

Manage a team of annotators responsible for reviewing customer conversations and AI interactions.

Develop annotation guidelines, procedures, and quality standards.

Establish calibration programs and quality assurance processes to ensure consistency across reviewers.

Partner with Data Scientists to create and maintain gold-standard datasets.

Monitor annotation accuracy, throughput, and quality metrics.

Coordinate reporting and deliverables for Legal, Compliance, Responsible AI, and executive stakeholders.

Manage annotation workflows and tooling including setting up annotation jobs, running data processing scripts, and testing annotation UIs for quality before job launch.

Plan capacity requirements to support seasonal increases in review volume.

Support future expansion into multilingual evaluation programs.

Identify process improvements that increase efficiency and annotation quality.

Bachelor's degree or equivalent experience in Linguistics/Psychology.

5+ years of experience in program management, operations, quality assurance, data labeling, or related fields.

Experience leading teams and managing operational workflows.

Strong organizational and stakeholder management skills.

Ability to analyze quality metrics and drive continuous improvement initiatives.

Excellent written and verbal communication skills.

Familiarity with Python/R, SQL and Excel. Should be familiar with running scripts on language data.

Strong organizational and stakeholder management skills.

Ability to analyze quality metrics and drive continuous improvement initiatives.

Excellent written and verbal communication skills.

Familiarity with Python/R, SQL and Excel. Should be familiar with running scripts on language data.

Experience supporting AI, machine learning, or data annotation programs.

Familiarity with Responsible AI, compliance, legal review, or governance processes.

Experience developing operational standards and quality frameworks.

Experience managing vendor or contractor resources.

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