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Ai Tagging Jobs (NOW HIRING)

JS Consulting

Product Manager - AI

Oakland, CA · On-site

Job Title- Product Manager - AI Project Location - Hybrid at Oakland, CA office 2-3 days onsite in ... Strong understanding of model training pipelines, tagging systems, and metadata management.

YipitData

Data Product Analyst, Private Investor

Work closely with our AI and Data Engineering teams to build and maintain cutting-edge AI-tagging systems * Design, maintain, and run QA processes to validate data across hundreds of thousands of ...

YipitData

Data Product Analyst, Private Investor

Work closely with our AI and Data Engineering teams to build and maintain cutting-edge AI-tagging systems * Design, maintain, and run QA processes to validate data across hundreds of thousands of ...

YipitData

OR

Work closely with our AI and Data Engineering teams to build and maintain cutting-edge AI-tagging systems * Design, maintain, and run QA processes to validate data across hundreds of thousands of ...

YipitData (Alternative)

OR

Work closely with our AI and Data Engineering teams to build and maintain cutting-edge AI-tagging systems * Design, maintain, and run QA processes to validate data across hundreds of thousands of ...

Horizon3.ai

Principal Cloud FinOps Analyst

Partner with Engineering infra and product teams to define tagging taxonomy, identify tagging gaps, and improve tagging to enable reporting. Make Cloud and AI spend billing data available in ...

Next League, LLC

AI Solutions Engineer

New York, NY

$200/hr

Computer vision for content operations (highlight detection, automated tagging, content moderation, metadata enrichment) * Multi-modal AI systems that combine LLMs and vision models * Production ...

Eliassen Group

AI Software Engineer

Greenwood Village, CO · On-site

$50 - $56/hr

Eliminate manual bottlenecks across reporting, tagging, and testing workflows. * Build AI agents supporting requirements review, architecture, coding, testing, debugging, and deployment. * Capture ...

Next League, LLC

AI Solutions Engineer

New York, NY · On-site

$200/hr

Computer vision for content operations (highlight detection, automated tagging, content moderation, metadata enrichment) * Multi-modal AI systems that combine LLMs and vision models * Production ...

Recruitment.ai

Sr. Platform Engineer

Richmond, VA · On-site

Strong Git/GitHub skills, including branching strategies, pull requests, code reviews, tagging, releases, merges, and conflict resolution. * Experience using AI tools (e.g., ChatGPT, GitHub Copilot ...

Ambrook

Software Engineer, AI

New York, NY · On-site +1

$135K - $220K/yr

Our internal tooling and infrastructure for classification, tagging, summarization, and user-in-the-loop AI systems. Within 1 month you'll... * Build and ship a feature powered by an LLM - e.g ...

AUTEC

Lead Generation and AI Manager

Statesville, NC · On-site

$120K/yr

Use AI tools to accelerate research, enrichment, tagging, and workflow execution * Build workflows using tools such as ChatGPT, Claude, Clay, Apollo, Zapier, Make, Airtable, or similar * Improve CRM ...

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AUTEC

Lead Generation and AI Manager

Fort Worth, TX · Remote

$120K/yr

Use AI tools to accelerate research, enrichment, tagging, and workflow execution * Build workflows using tools such as ChatGPT, Claude, Clay, Apollo, Zapier, Make, Airtable, or similar * Improve CRM ...

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Ai Tagging information

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$39K

$114.3K

$150K

How much do ai tagging jobs pay per year?

As of Jul 2, 2026, the average yearly pay for ai tagging in the United States is $114,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,500.00 and $134,500.00 per year, depending on experience, location, and employer.

What does a typical day look like for someone in an AI Tagging role?

A typical day for an AI Tagging professional includes reviewing and labeling large sets of data—such as images, audio, or text—according to specific guidelines provided by the project. You may spend time collaborating with data scientists or project managers to clarify labeling instructions or resolve ambiguous cases. Work is usually structured with clear quality and productivity targets, and you might also participate in feedback sessions to improve annotation consistency. The pace can be steady, with periods of high concentration, and you may use specialized software platforms to manage your workflow. Team communication and attention to detail are key aspects of the job each day.

What are the key skills and qualifications needed to thrive in the Ai Tagging position, and why are they important?

To thrive in AI Tagging, you need strong attention to detail, data annotation skills, and familiarity with data quality standards, often backed by experience or coursework in information science or computer science. Familiarity with data labeling platforms, image and text annotation tools, and occasionally basic programming or scripting knowledge is beneficial. Strong organizational skills, patience, and the ability to work efficiently both independently and within a team distinguish top performers in this role. These skills ensure the accurate and efficient creation of high-quality labeled datasets that are essential for training and improving AI models.

What is an AI Tagging job?

An AI Tagging job involves labeling or annotating data to help train machine learning models. This can include tagging images, videos, text, or audio with relevant metadata so that AI systems can recognize patterns and improve accuracy. AI taggers follow specific guidelines to ensure consistency and quality in the annotations. It's a crucial step in developing AI systems for tasks like image recognition, natural language processing, and recommendation algorithms.

More about Ai Tagging jobs
What cities are hiring for Ai Tagging jobs? Cities with the most Ai Tagging job openings:
What are the most commonly searched types of Ai Tagging jobs? The most popular types of Ai Tagging jobs are:
What states have the most Ai Tagging jobs? States with the most job openings for Ai Tagging jobs include:
What job categories do people searching Ai Tagging jobs look for? The top searched job categories for Ai Tagging jobs are:
Ai Tagging jobs near you
Infographic showing various Ai Tagging job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $114,320 per year, or $55 per hour.
Product Manager - AI

Product Manager - AI

JS Consulting

Oakland, CA • On-site

Contractor

Posted just now

Job description

Job Title- Product Manager - AI

Project Location – Hybrid at Oakland, CA office 2-3 days onsite in a week

Duration- 12+ months contract

Visa- USC/ GC

Make sure candidates are exceptionally communicating well while speaking with my business partner over the video call 

Product Manager, AI
Key Responsibilities
Partner with engineering and AI/ML teams to integrate third-party (e.g., OpenAI) and internal capabilities
Experience leading cross-cutting programs or technology deployments, focusing on emerging technologies and creating new processes for rapid scale-up
Experience deploying software products (applications, services, etc.) or consumer hardware products
Experience in Design Thinking and customer-first product design processes
Lead the product design, business requirements, and definition of PG&E's AI Center of Excellence initiatives
Engage with project execution stakeholders for execution and program management
Manage the project timeline, budget, and advocate for and adjust resourcing when necessary
Identify and prioritize use cases and required capabilities for PG&E AI initiatives
Curate training datasets and tagging structures to fine-tune model performance and ensure desired outputs.
Monitor output metrics such as asset acceptance rate, generation cost, and asset velocity to optimize tool performance.
Expected Skillset
10+ years of product management experience with at least 3+ years working in AI/ML, creative tech, or content automation.
Demonstrated experience with generative AI platforms (e.g., OpenAI, Stability, Adobe Firefly) and image-related prompt engineering.
Strong understanding of model training pipelines, tagging systems, and metadata management.
Comfortable leading hands-on delivery in a fast-moving, ambiguous space with high visibility.
Excellent stakeholder management and storytelling skills — you know how to align creatives, engineers, and executives alike.
A plus if they have experience in the utility sector or with Foundry.