1

Ai Tagging Jobs (NOW HIRING)

Product Manager

New York, NY · On-site

$180K - $220K/yr

Lead the full product lifecycle-from concept to launch-for features such as AI tagging, metadata schemas, and collaboration tools * Partner with design and engineering teams to deliver scalable ...

Mason & Los Angels Technical Skills: • Advanced Python development for ML/AI workloads • End-to-end ML lifecycle: model training, evaluation, fine-tuning, and labeling/tagging workflows • ...

Senior AI Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Data Tagging & Profile System (User 360) * Establish a comprehensive User Tagging/Labeling System ... Optimize the "Data-to-AI" loop: ensure the LLM understands the context of the user data to provide ...

Senior AI Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Data Tagging & Profile System (User 360) * Establish a comprehensive User Tagging/Labeling System ... Optimize the "Data-to-AI" loop: ensure the LLM understands the context of the user data to provide ...

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.

Tagging and labeling workflows * Generative AI & LLMs * Prompt engineering for LLM-based applications * Document Processing * Document extraction, parsing, and chunking * Handling structured ...

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 ...

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 ...

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 ...

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 ...

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 ...

Tagging and labeling workflows * Generative AI & LLMs * Prompt engineering for LLM-based applications * Document Processing * Document extraction, parsing, and chunking * Handling structured ...

Fulltime Skills Desired: • Python (Expert level) • Machine Learning & Model Training o Training, evaluation, fine tuning o Tagging and labeling workflows • Generative AI & LLMs o Prompt ...

next page

Showing results 1-20

Ai Tagging information

See salary details

$39K

$114.3K

$150K

How much do ai tagging jobs pay per year?

As of Jun 8, 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:
Infographic showing various Ai Tagging job openings in the United States as of May 2026, with employment types broken down into 38% Full Time, 13% Part Time, and 49% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $114,320 per year, or $55 per hour.

$180K - $220K/yr

Full-time

Posted 18 days ago


Job description

About the Role
We are looking for a Product Manager to drive innovation, simplify workflows, and deliver enterprise-grade product features. The role is ideal for someone who combines technical expertise, user empathy, and a passion for building intuitive solutions.
  • Define and own the product vision, roadmap, and priorities based on customer needs and market trends
  • Lead the full product lifecycle-from concept to launch-for features such as AI tagging, metadata schemas, and collaboration tools
  • Partner with design and engineering teams to deliver scalable, intuitive, and secure solutions
  • Champion user experience by streamlining workflows for creative, post-production, and approval processes
  • Track product performance using KPIs, gather feedback, and iterate for continuous improvement
    Qualifications
  • 5+ years of product management experience in SaaS, preferably in creative tech, digital asset management, or workflow platforms
  • Proven success in launching and scaling features that enhance collaboration and efficiency
  • Strong understanding of AI/ML-driven solutions and enterprise integrations (e.g., SSO)
  • Excellent communication skills and ability to work cross-functionally with technical and business stakeholders
  • Creative, agile mindset with a strong focus on user-centered design and problem-solving