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Ai Data Annotator Jobs (NOW HIRING)

ICON Consultants, LP

Data Annotator

San Francisco, CA · On-site

$32 - $39/hr

Data Annotator (Autonomous Vehicle / AI) Location: San Francisco, CA 94103 Schedule: Hybrid, Monday - Friday 8AM - 5PM Duration: 6 months (possible extension) Pay Rate: $32.00 - $39.00 per hour ...

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RLink Solutions

Data Annotator

Sunnyvale, CA · On-site

We are looking for a highly skilled Data Annotator to join our AV labs team ... In this role, you will be at the forefront of AI development, transforming raw sensor data into ...

IMCS Group

Data Annotator

Sunnyvale, CA

$136K - $163K/yr

Data Annotator Location: Sunnyvale, CA 94086 (Onsite) Duration: 6 Months with possibility to extend ... In this role, you will be at the forefront of AI development, transforming raw sensor data into ...

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Icon Consultants

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Data Annotator (Autonomous Vehicle / AI)

San Francisco, CA · On-site

$32 - $39/hr

Data Annotator (Autonomous Vehicle / AI) Location: San Francisco, CA 94103 Schedule: Hybrid, Monday - Friday 8AM - 5PM Duration: 6 months (possible extension) Pay Rate: $32.00 - $39.00 per hour ...

IntelliPro

Data Annotator

San Francisco, CA · On-site

IntelliPro is a global leader in talent acquisition and HR solutions, and they are seeking a Data Annotator to help annotate visual 3D data and 2D imagery for AI development. The role involves ...

Arthur Lawrence

Data Annotator

Fremont, CA

Arthur Lawrence is looking for a Data Annotator one of our clients in Fremont, CA. Please find the ... Familiarity with AI/ML concepts, data management, and data analysis platforms. About Us: Arthur ...

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 ... You will be at the forefront of AI development, transforming raw sensor data into high-quality ...

IntelliPro Group Inc.

Data Annotator

San Francisco, CA · On-site

Data Annotator Location: San Francisco, CA 94158 Duration: 6 Months Pay Rate : $35-$40/hr Top 3 ... You will be at the forefront of AI development, transforming raw sensor data into high-quality ...

IntelliPro Group Inc.

Data Annotator

Sunnyvale, CA · On-site

Data Annotator Location: San Francisco, CA 94158 OR Sunnyvale, CA 94086 Duration: 6 Months Top 3 ... You will be at the forefront of AI development, transforming raw sensor data into high-quality ...

IntelliPro Group Inc.

Data Annotator

Sunnyvale, CA · On-site

Data Annotator Location: San Francisco, CA 94158 OR Sunnyvale, CA 94086 Duration: 6 Months Top 3 ... You will be at the forefront of AI development, transforming raw sensor data into high-quality ...

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Ai Data Annotator information

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$165K

$243.5K

How much do ai data annotator jobs pay per year?

As of Jun 16, 2026, the average yearly pay for ai data annotator 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 the role of data annotator in AI?

An AI data annotator is responsible for labeling and categorizing data such as images, text, or videos to help train machine learning models. This role requires attention to detail and familiarity with annotation tools, often involving quality checks to ensure data accuracy for effective AI development.

Which 3 jobs will survive AI?

AI Data Annotators are likely to continue being in demand as they provide essential labeled data for machine learning models. Jobs that require complex human judgment, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled tradespeople—are also expected to persist despite AI advancements.

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

To thrive as an AI Data Annotator, you need strong attention to detail, critical thinking abilities, and familiarity with data labeling guidelines or standards. Experience with data annotation platforms, basic computer skills, and sometimes exposure to AI tools or cloud-based systems are valuable assets. Excellent communication, time management, and the ability to work independently or within distributed teams help you stand out in this position. These skills ensure accurate, consistent data labeling that directly impacts the quality and performance of AI and machine learning models.

What does a typical day look like for an AI Data Annotator?

A typical day for an AI Data Annotator involves reviewing and accurately labeling large sets of images, text, audio, or video data according to detailed guidelines provided by machine learning project teams. You may use specialized annotation tools and collaborate virtually with data scientists or project managers to ensure consistency and quality in your work. The role often requires both independent focus as well as team check-ins to address questions or clarify standards. Over time, annotators can gain expertise in advanced labeling tasks, take on quality assurance responsibilities, or progress into roles such as annotation team lead or project coordinator.

What is an AI Data Annotator job?

An AI Data Annotator is responsible for labeling and categorizing data to train machine learning models. This may include annotating images, text, audio, or video with relevant tags, bounding boxes, or classifications. The accuracy of annotations is crucial as it directly impacts the performance of AI algorithms. Annotators often follow specific guidelines to ensure consistency and quality. This role is essential in developing AI systems for tasks like image recognition, natural language processing, and autonomous driving.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior data scientists, AI research directors, or machine learning executives, often requiring advanced skills, extensive experience, and sometimes equity or performance bonuses. These positions are usually found in large tech companies or innovative startups and may involve leadership, strategic planning, and specialized technical expertise.

How to become an AI data annotator?

To become an AI data annotator, you typically need strong attention to detail, good communication skills, and basic computer proficiency. Familiarity with annotation tools and understanding of data labeling standards are also important; some roles may require prior experience or training in specific domains like images, text, or audio annotation. Many positions are entry-level and offer flexible schedules, with some employers providing on-the-job training.
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Ai Data Annotator jobs near you
Infographic showing various Ai Data Annotator job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, and 8% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Annotator

Data Annotator

ICON Consultants, LP

San Francisco, CA • On-site

$32 - $39/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Annotator (Autonomous Vehicle / AI)

Location: San Francisco, CA 94103

Schedule: Hybrid, Monday - Friday 8AM - 5PM

Duration: 6 months (possible extension)

Pay Rate: $32.00 - $39.00 per hour (depending on experience)


Position Overview

We are seeking a highly skilled Data Annotator to support the development of advanced autonomous driving systems. In this role, you will convert complex sensor data into high-quality training datasets used to power machine learning models. This position plays a critical role in ensuring the safety, accuracy, and performance of AI-driven solutions.

The ideal candidate is detail-oriented, technically proficient in 2D and 3D annotation, and understands the importance of precision in data labeling for real-world applications.

Key Responsibilities

  • Annotate 3D sensor data (LiDAR/point cloud) and 2D camera imagery using bounding boxes, cuboids, polygons, and pixel-level semantic segmentation
  • Identify, label, and classify objects and environmental elements according to defined taxonomies and project guidelines
  • Label road features, infrastructure, and traffic elements to support the creation of high-definition (HD) maps
  • Perform detailed quality assurance reviews to ensure data accuracy, consistency, and completeness
  • Collaborate with engineering and data teams to refine annotation guidelines and improve model performance
  • Meet production targets and deadlines while maintaining high-quality standards
  • Stay current with industry advancements in data annotation tools, AI/ML workflows, and data management practices

Basic Qualifications

  • Bachelor’s degree or equivalent experience
  • Minimum of 3 years of professional data annotation experience, including work with 3D datasets or autonomous driving applications
  • Hands-on experience with 2D and 3D annotation tools and platforms
  • Strong understanding of data management principles and basic data analysis concepts
  • Demonstrated ability to follow detailed instructions and identify subtle inconsistencies or anomalies in datasets
  • Strong spatial reasoning skills and ability to interpret complex 3D environments
  • Ability to manage multiple tasks and adapt to changing project requirements

Preferred Qualifications

  • Direct experience in autonomous vehicle data annotation
  • Proficiency working with LiDAR or point cloud data systems
  • Advanced understanding of semantic segmentation and 3D object classification

Additional Requirements

  • Ability to work on-site five days per week
  • Willingness to meet strict production benchmarks and quality metrics
  • Successful completion of a background check

Impact of the Role

This position contributes directly to the development of safe and reliable autonomous driving technologies. The quality and accuracy of annotated data are foundational to the performance of AI systems, making this role essential to advancing real-world applications.

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