ZipRecruiter

Log In

2

Full Time Ai Data Annotation Jobs (NOW HIRING)

Propio Language Services

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Job Type Full-time Description Propio Language Services is a provider of the highest quality ... The ideal candidate can build scalable data pipelines, design high-quality annotation and QA ...

Mercor

Data Scientist | Upto $100/hr

New York, NY · Remote

$100/hr

Prior experience with data annotation, labeling, evaluation, or human feedback collection. * Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks. Application ...

Figure

Data Quality Partner Lead

San Jose, CA · On-site

$120K - $180K/yr

... annotation, labeling, or content review vendors * Background at a frontier AI lab, autonomous ... The US base salary range for this full-time position is between $120,000 - $180,000 annually. The ...

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Prior experience with data annotation, labeling, evaluation, or human feedback collection. * Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks. Application ...

Propio

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI ...

TSMG

AI/ML Data Contributor

Boise, ID

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

New Orleans, LA · On-site

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Fargo, ND · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

next page

Showing results 1-20

All JobsFull Time Ai Data Annotation Jobs

Full Time Ai Data Annotation information

What are some common challenges faced by AI Data Annotation professionals, and how can they be addressed?

AI Data Annotation professionals often encounter challenges such as maintaining high accuracy while working with large datasets, interpreting ambiguous data, and consistently following complex labeling guidelines. These challenges can be addressed through thorough training, frequent communication with project managers or data scientists, and utilizing annotation tools with built-in quality checks. Collaboration with team members and regular feedback sessions also help ensure consistency and improve overall data quality, making the annotation process smoother and more efficient.

Which 3 jobs will survive AI?

Full Time AI Data Annotation jobs are likely to persist because they require human judgment for complex data labeling and quality control. Roles involving creative thinking, strategic decision-making, and interpersonal skills, such as AI trainers, data scientists, and AI ethicists, are also expected to remain in demand as AI systems need human oversight and expertise. These jobs often require specialized skills, certifications, or domain knowledge that are difficult for AI to fully replicate.

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

To thrive as a Full Time AI Data Annotation Specialist, you need strong attention to detail, basic data literacy, and often a high school diploma or equivalent. Familiarity with annotation platforms (like Labelbox or Supervisely) and understanding of data labeling guidelines are typically required. Patience, consistency, and effective communication are soft skills that help ensure accuracy and clarity in collaborative projects. These skills and qualities are crucial for producing high-quality labeled data, which directly impacts the performance of AI models.

What are Full Time AI Data Annotation jobs?

Full Time AI Data Annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Annotators play a crucial role in ensuring AI systems understand and process information accurately by providing high-quality, human-curated data. These positions usually require attention to detail, basic computer skills, and the ability to follow specific guidelines for different projects. Full-time roles typically offer stable hours and may be remote or on-site, depending on the employer.

How to become an AI data annotator?

To become an AI data annotator, you typically need strong attention to detail, good reading comprehension, and basic computer skills. Familiarity with annotation tools and understanding of data labeling guidelines are also important; some roles may require prior experience or training. Many positions are entry-level and offer flexible schedules, making them accessible to a wide range of applicants.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, machine learning executives, or senior data scientists, often requiring advanced skills, extensive experience, and sometimes equity or performance bonuses. These positions are usually found in large tech companies or AI-focused firms and involve leadership, strategic planning, and cutting-edge development. Compensation at this level reflects significant responsibility and expertise in the field.

How much do AI data annotators make?

AI data annotators typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Many positions are remote and may offer flexible schedules, with some roles paying per project or data set rather than hourly.

What is the difference between Full Time Ai Data Annotation vs Data Labeler?

AspectFull Time Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal technical requirements
Work EnvironmentOffice or remote; part of AI development teamsOffice or remote; often task-based or freelance
Industry UsageUsed across AI, machine learning, and data science industriesPrimarily in AI and machine learning industries for data preparation
Job ScopeFull-time, with responsibilities including data annotation, quality control, and collaborationTask-specific, focusing on labeling data accurately for AI training

Full Time Ai Data Annotation roles typically require more consistent hours, team collaboration, and a broader scope of responsibilities compared to Data Labelers, who often work on individual tasks with minimal oversight. Both roles are essential in AI development, but Full Time Ai Data Annotation offers more stability and integration within AI projects.

More about Full Time Ai Data Annotation jobs
What cities are hiring for Full Time Ai Data Annotation jobs? Cities with the most Full Time Ai Data Annotation job openings:
What are the most commonly searched types of Ai Data Annotation jobs? The most popular types of Ai Data Annotation jobs are:
What states have the most Full Time Ai Data Annotation jobs? States with the most job openings for Full Time Ai Data Annotation jobs include:
What job categories do people searching Full Time Ai Data Annotation jobs look for? The top searched job categories for Full Time Ai Data Annotation jobs are:
Full Time Ai Data Annotation jobs near you
Infographic showing various Full Time Ai Data Annotation job openings in the United States as of June 2026, with employment types broken down into 18% Full Time, and 82% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

AI Data Labeling & Quality Specialist

TPI Global (formerly Tech Providers, Inc.)

Fort Mill, SC • On-site

$15.50 - $20.25/hr

Full-time

Posted 7 days ago

Job description

Job Description
bilingual AI Data Labelling & Quality Specialist
3-6 Months possibility of conversion
Fort mill, SC (Remote role)
About the role:
  • We are seeking a bilingual AI Data Labelling & Quality Specialist to support the development of an AI-assisted sales system for our Home Services business.
  • This includes both a voice agent and tools for human sales agents, designed to deliver highly personalized customer journeys.
  • The ideal candidate will help improve our AI models by labelling ground-truth data, evaluating AI outputs, and providing structured feedback to enhance multilingual performance-in English and Spanish.

Responsibilities
  • Review, label, and categorize customer interaction data (audio and text) to create high-quality training datasets.
  • Evaluate AI/LLM outputs for accuracy, clarity, tone, and compliance with internal guidelines.
  • Provide detailed feedback to improve AI behaviors, dialog flows, and multilingual consistency.
  • Identify patterns, edge cases, and opportunities to increase the effectiveness of English and Spanish customer experiences.
  • Ensure data quality, confidentiality, and adherence to annotation standards.

Qualifications
  • Fluent in English and Spanish (spoken and written) with strong comprehension and communication skills.
  • Prior experience in data labelling, annotation, linguistics, QA, customer support, or AI training.
  • Familiarity with conversational AI, LLMs, or voice agents is a plus.
  • Strong attention to detail and ability to follow structured guidelines.
  • Comfortable working with productivity tools and web-based annotation platforms.
  • Ability to work independently, meet deadlines, and adapt to evolving requirements.

Meet Your Recruiter
Mohit Sharma

Apply