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Data Labelling Jobs (NOW HIRING)

Welocalize

Finnish Data Labeler

Seattle, WA · On-site

$26 - $28/hr

About the job Finnish Data Labeler Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This ...

Welocalize

Finnish Data Labeler

San Francisco, CA · On-site

$26 - $28/hr

About the job Finnish Data Labeler Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This ...

Welocalize

Polish Data Labeler

Manhattan, NY · On-site

$26 - $28/hr

About the job Polish Data Labeler Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This ...

Welocalize

Polish Data Labeler

Seattle, WA · On-site

$26 - $28/hr

About the job Polish Data Labeler Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This ...

Vadum Inc

Data Labeling Specialist

Raleigh, NC · On-site

$12 - $15/hr

We are seeking a detail-oriented Data Labeling Specialist temporarily (6 months) to support image annotation projects. In this role, you will review images and accurately assign the appropriate ...

Vadum Inc

Data Labeling Specialist

Raleigh, NC · On-site

$12 - $15/hr

Description We are seeking a detail-oriented Data Labeling Specialist temporarily (6 months) to support image annotation projects. In this role, you will review images and accurately assign the ...

Welocalize

Polish Data Labeler

Seattle, WA · On-site

$26 - $28/hr

Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role ...

Vadum, Inc.

Data Labeling Specialist

Raleigh, NC · On-site

$12 - $15/hr

We are seeking a detail-oriented Data Labeling Specialist temporarily (6 months) to support image annotation projects. In this role, you will review images and accurately assign the appropriate ...

Welocalize

Polish Data Labeler

New York, NY

$26 - $28/hr

Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role ...

Tesla

Data Labeler

Draper, UT · On-site

In this role you will work with in-house tools to label data coming directly from the fleet of vehicles and Optimus Data Collectors. Nopreviousexperience in AI or data labelingrequired. The perfect ...

Tesla

Data Labeler

Austin, TX · On-site

In this role you will work with in-house tools to label data coming directly from the fleet of vehicles and Optimus Data Collectors. Nopreviousexperience in AI or data labelingrequired. The perfect ...

Tesla

Data Labeler

Tempe, AZ · On-site

In this role you will work with in-house tools to label data coming directly from the fleet of vehicles and Optimus Data Collectors. Nopreviousexperience in AI or data labelingrequired. The perfect ...

Tesla

Data Labeler

Dallas, TX · On-site

In this role you will work with in-house tools to label data coming directly from the fleet of vehicles and Optimus Data Collectors. Nopreviousexperience in AI or data labelingrequired. The perfect ...

IntelliPro Group Inc.

Data Annotator

San Francisco, CA · On-site

$35 - $40/hr

Data Annotator Location: San Francisco, CA 94158 Duration: 6 Months Pay Rate : $35-$40/hr Top 3 ... Identify, label, and classify objects and environmental details according to strict project ...

MethodHub

Data Labeler / Data Annotator

Tampa, FL · On-site

Data Labeler / Data Annotator Location: Tampa, FL (5 days Onsite) Duration: Long-term Contract * Perform detailed data annotation and classification activities based on project-specific labeling ...

Tesla

Data Labeler Manager

Dallas, TX · On-site

Tesla is a leading company in the electric vehicle and AI space, seeking a Data Labeler Manager to oversee a team responsible for annotating data for their AI software. The role involves managing ...

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Data Labelling information

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$46K

$165K

$243.5K

How much do data labelling jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data labelling in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a data labelling?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

What are the typical daily responsibilities of a data labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

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

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

How can I get started in data labeling?

To start in data labeling, gain familiarity with annotation tools and understand the specific data types you'll work with, such as images, text, or audio. Building attention to detail and basic knowledge of machine learning concepts can improve your effectiveness; some roles may require basic computer skills or certifications. Entry-level positions often offer flexible schedules and remote work options.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform they work for. Some may earn higher rates with specialized skills or certifications, especially for complex data annotation tasks involving images, videos, or audio. Pay can vary based on whether the work is freelance, part-time, or full-time, and some roles offer project-based or hourly compensation.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can provide opportunities to develop skills in data management and AI, but typically offers lower pay and limited advancement without additional training or experience.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help machine learning models learn and improve. These roles typically require attention to detail and familiarity with labeling tools or software, and they are often performed remotely with flexible schedules.
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Data Labelling jobs near you
Infographic showing various Data Labelling job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

AI Data Labeling & Quality Specialist

Fort Mill, SC • On-site

TPI Global (formerly Tech Providers, Inc.)
See more jobs at TPI Global (formerly Tech Providers, Inc.)external

$15.50 - $20.25/hr

Temporary

Re-posted 9 days ago

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

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