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Ai Data Annotation Specialist Jobs (NOW HIRING)

$70 - $90/hr

Your mission & challenges As an AI Data Annotation Specialist, you will operate at the intersection of data ingestion, processing, and machine learning. Your primary responsibility is to design and ...

As a Data Annotation Specialist, you will be pivotal in iterating on our AI system by annotating data on various tasks performed by robots, directly influencing the performance of robotic arms.

Familiarity with AI and machine learning concepts. Additional language skills, which are beneficial for multilingual data annotation projects. Proven track record of handling confidential and ...

Through its patented AI technology, Zefr offers brands and agencies more accurate and transparent ... We are hiring a Multilingual Data Annotation Specialist to support the training and performance of ...

New

$52 - $78/hr

Join us to shape the next frontier of AI-driven robotics! Dyna Robotics makes general-purpose ... As a Data Annotation Specialist at Dyna Robotics, you will be pivotal in iterating on our AI system ...

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Ai Data Annotation Specialist information

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$28K

$72.9K

$88K

How much do ai data annotation specialist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for ai data annotation specialist in the United States is $72,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What is the difference between Ai Data Annotation Specialist vs Data Labeler?

AspectAi Data Annotation SpecialistData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or office-based, collaborative with data teamsRemote or office-based, often repetitive tasks
Industry UsageAI, machine learning, tech companiesData processing, research, tech companies
Search IntentUnderstanding roles in AI data prepBasic data labeling tasks

The main difference is that an Ai Data Annotation Specialist typically handles more complex annotation tasks, often involving understanding AI models, while a Data Labeler performs more straightforward labeling work. Both roles are essential in preparing data for machine learning, but the specialist usually requires a deeper understanding of annotation tools and AI workflows.

How to become an AI Data Annotation Specialist?

To become an AI Data Annotation Specialist, candidates typically need strong attention to detail, basic computer skills, and familiarity with annotation tools or platforms. Relevant experience in data labeling, understanding of AI or machine learning concepts, and good communication skills are also beneficial. Some roles may require a high school diploma or equivalent, with advanced positions favoring additional technical training or certifications.
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What cities are hiring for Ai Data Annotation Specialist jobs?

Cities with the most Ai Data Annotation Specialist job openings:

What states have the most Ai Data Annotation Specialist jobs?

States with the most job openings for Ai Data Annotation Specialist jobs include:

Infographic showing various Ai Data Annotation Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $72,947 per year, or $35.1 per hour.

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

AI Data Annotation Specialist
Hours: Minimum 20 / week to start
Role Overview
We are seeking a detail-oriented AI Data Annotation Specialist to support a high-impact AI fine-tuning initiative. This role is responsible for labeling, classifying, and validating datasets to improve the accuracy and performance of machine learning models. The ideal candidate combines precision, consistency, and the ability to follow structured guidelines in a fast-paced environment.
Key Responsibilities
  • Perform data labeling and annotation across multiple data types (e.g., text, image, sensor data, behavioral signals).
  • Apply predefined guidelines to ensure high-quality, consistent annotations.
  • Review and validate labeled data to maintain accuracy and reduce bias.
  • Collaborate with AI/ML teams to refine labeling schemas and edge cases.
  • Identify anomalies, ambiguities, or gaps in datasets and escalate as needed.
  • Maintain documentation of labeling decisions and updates to taxonomy.
Required Qualifications
  • Experience in data annotation and labeling.
  • Strong attention to detail and ability to follow structured instructions.
  • Analytical thinking with the ability to interpret nuanced scenarios.
  • Familiarity with annotation tools (e.g., Labelbox, CVAT, Scale AI, or similar).
  • Proficiency with spreadsheets or data tracking tools.
  • Ability to work independently and manage high-volume tasks with consistency.
Preferred Qualifications
  • Experience supporting machine learning or AI fine-tuning projects.
  • Exposure to taxonomy design, classification frameworks, or metadata structuring.

Required Skills : Previous professional experience performing: Data annotation Data labeling Video labeling Content tagging/classification Experience using annotation tools such as: Labelbox CVAT Scale AI Similar proprietary/in-house annotation platforms Strong attention to detail and ability to work accurately on repetitive tasks. Ability to follow structured annotation guidelines and maintain consistency. Demonstrated experience reviewing and classifying video content. Comfortable working independently with minimal supervision.
Basic Qualification :
Additional Skills :
Background Check : Yes
Drug Screen : No
Notes :
Selling points for candidate :
Project Verification Info :"The information provided below is for Client Systems AV use only and is not to be distributed publicly, or to any third party. Any distribution of the below information will result in corrective action from Client Systems Vendor Management. Client Letter: Will Provide"
Exclusive to Client :Yes
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship :Yes
Interview times set :Yes
Type of project :
Master Job Title :
Branch Code :

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US