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Full Time Ai Tagging Jobs (NOW HIRING)

... full-time conversion introduces a comprehensive total rewards package, including premium health ... Computer vision for content operations (highlight detection, automated tagging, content moderation ...

AI Developer

Springfield, VA · On-site

$100K - $125K/yr

... Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance ... review, metadata tagging, digitization workflows, and compliance with DoD and Federal records ...

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Full Time Ai Tagging information

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$44K

$78.1K

$113K

How much do full time ai tagging jobs pay per year?

As of Jul 14, 2026, the average yearly pay for full time ai tagging in the United States is $78,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $88,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full-Time AI Tagging Specialist, and why are they important?

To thrive as a Full-Time AI Tagging Specialist, you need strong attention to detail, data annotation skills, and familiarity with basic computer operations, often supported by a relevant degree or prior experience in data labeling. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, and knowledge of data management systems, are typically required. Diligence, consistency, and effective communication help ensure high-quality, accurate labeling and smooth collaboration with development teams. These skills are crucial because precise data tagging directly influences the performance and reliability of AI models.

What are some common challenges faced by professionals in a full-time AI tagging role, and how can they be managed?

Professionals in full-time AI tagging roles often encounter challenges such as repetitive tasks, maintaining high accuracy under tight deadlines, and adapting to evolving data labeling guidelines. Staying attentive to detail and following clear documentation can help mitigate errors, while using productivity tools and taking regular breaks can combat fatigue. Regular communication with team leads or quality assurance specialists is also crucial to clarify ambiguities and ensure consistent tagging standards.

What is a Full Time AI Tagging job?

A Full Time AI Tagging job involves labeling or annotating data—such as images, text, or audio—so that artificial intelligence (AI) systems can learn from it. This work is essential in training machine learning models to recognize patterns and make accurate predictions. Taggers follow specific guidelines to ensure consistency and accuracy in the data, often using specialized software tools. The role may also include reviewing or quality-checking tags created by others, making it a critical part of the AI development process.
More about Full Time Ai Tagging jobs
What cities are hiring for Full Time Ai Tagging jobs? Cities with the most Full Time 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 job categories do people searching Full Time Ai Tagging jobs look for? The top searched job categories for Full Time Ai Tagging jobs are:
Infographic showing various Full Time Ai Tagging job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $78,135 per year, or $37.6 per hour.
Generative AI Data Analyst - USA (Remote)

Generative AI Data Analyst - USA (Remote)

Welo Data

Charleston, WV • Remote

$27.38/hr

Full-time

Posted 7 days ago


Job description

OVERVIEW

We are seeking a Generative AI Analyst to support a high-impact machine learning project. This role focuses on creating high-quality prompts and responses across diverse topics and leading labeling initiatives with internal and external partners. The ideal candidate is a strong communicator with native-level U.S. English, experienced in working with data and comfortable training teams on best practices for LLM development. This position is fully remote and suited for someone motivated to work with cutting-edge AI technologies.

Project Details

Job Title: Generative AI Analyst
Location: Remote
Hours: 40 hours weekly
Language: English (US)
Start date: April 2026
Employment Type: Full-time W-2 employee with benefits – 5 days a week
Pay rate: $27.38/hour
If you reside in California, please apply to the California-specific posting for the applicable rate

Must have valid work authorization in the US (Welo Data does not sponsor VISAs at this time).

Key Responsibilities
  • Creatively writing prompts and responses to a variety of diverse topics
  • Perform LLM annotation and evaluation tasks (ranking, scoring, labeling, tagging)
  • Evaluate model outputs for accuracy, relevance, and instruction-following
  • Identify and document issues such as hallucinations and inconsistencies
  • Participating in and/or supporting labeling workflows, including hands-on annotation and collaboration with internal or external teams
  • Training teams on best practices for creating Large Language Models/Data sets
Requirements
  • Hands-on experience performing data annotation or evaluation tasks (e.g., labeling, ranking, scoring, or tagging LLM outputs)
  • Native or near-native English with excellent writing skills
  • Strong attention to detail and ability to follow guidelines consistently
  • Self-driven, motivated and enthusiastic to work on state-of-art machine learning tools
  • 4 year Accredited College degree or equivalent experience

Ways to stand out from the crowd:

  • College Degree or experience in Linguistics, English Literature, Creative Writing, Journalism, and domain knowledge (Law/Medical/Math/Coding/etc.)
  • Experience working in annotation platforms or structured labeling environments is a plus
  • Deep understanding of Large Language Models/RLHF
  • Experience in labeling/tagging of frames/tasks/prompts to prepare for DNN
  • QA/testing experience

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.


Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.