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Freelance Ai Data Annotation Jobs (NOW HIRING)

Track annotation progress, throughput, and quality metrics. * Maintain annotation dashboards to ensure timely delivery aligned with AI development milestones. 4. Data Governance & Compliance Support

Responsibilities : โ€ข Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams โ€ข Ensure the ...

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.

AI Data Software Engineer

San Francisco, CA ยท On-site

$134K - $162K/yr

Tiki AI provides end-to-end data annotation and intelligence solutions that transform raw information into high-quality, actionable datasets. Founded in , the company is headquartered in San ...

... Freelance Audio Contributors. This is your chance to be on the front lines of how AI learns to ... voice work, or data annotation is a plus but not required Why This Matters * Every major AI ...

Data Annotation Technician Join Q Analysts and become part of a world-class organization. Q ... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ...

Data Solutions Engineer

Mountain View, CA ยท On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Data Solutions Engineer

Mountain View, CA ยท On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Data Solutions Engineer

Mountain View, CA ยท On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

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Freelance Ai Data Annotation information

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How much do freelance ai data annotation jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for freelance ai data annotation in the United States is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance AI Data Annotator, and why are they important?

To thrive as a Freelance AI Data Annotator, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Experience with annotation platforms, labeling tools, and sometimes knowledge of spreadsheet software or project management systems is typically required. Reliability, time management, and effective communication are standout soft skills for meeting project deadlines and collaborating with remote teams. These skills are crucial for ensuring high-quality, accurate data annotations that directly impact the performance of AI models.

What are some common challenges faced by freelance AI data annotators, and how can they be addressed?

Freelance AI data annotators often encounter challenges such as maintaining consistency in labeling, meeting tight deadlines, and managing repetitive tasks. To address these, it's important to thoroughly understand the project guidelines, seek clarification from clients when needed, and use annotation tools efficiently. Regular communication with project managers and participating in quality checks can also help ensure accuracy and smooth workflow. Building a routine and taking short breaks can reduce fatigue and improve focus.

What does a Freelance AI Data Annotation job involve?

A Freelance AI Data Annotation job involves labeling, tagging, or categorizing data to train artificial intelligence models. This can include tasks like identifying objects in images, transcribing audio, or classifying text. Annotators follow specific guidelines to ensure consistency and accuracy so that the AI can learn from high-quality, well-labeled datasets. These jobs are typically remote, flexible, and can be project-based, making them popular for freelancers. Attention to detail and the ability to follow instructions are key skills for success in this role.

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

AspectFreelance Ai Data AnnotationFreelance Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexibleRemote, flexible
Industry UsageAI and machine learning projectsData organization and categorization
Job FocusAnnotating data for AI trainingLabeling data for various purposes

Freelance Ai Data Annotation involves preparing data specifically for AI models, often requiring understanding of annotation tools. Freelance Data Labeler may perform similar tasks but can include broader data labeling roles. Both roles are remote, flexible, and essential for data-driven industries, but Ai Data Annotation is more specialized for AI development projects.

More about Freelance Ai Data Annotation jobs
What cities are hiring for Freelance Ai Data Annotation jobs? Cities with the most Freelance 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 Freelance Ai Data Annotation jobs? States with the most job openings for Freelance Ai Data Annotation jobs include:
Infographic showing various Freelance Ai Data Annotation job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $42,153 per year, or $20.3 per hour.

Freelance Annotator (English) - AI Trainer

Mindrift - Data annotation

New York, NY โ€ข Remote

$23/hr

Part-time

Posted 10 days ago


Job description

Please submit your resume in English and indicate your level of English.

At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence.

What we do

The Toloka Annotators connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process.

About the Role

Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part inย online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.

Responsibilities:

  • Carefully review provided data (text, images, or videos)
  • Label or classify content based on project guidelines
  • Identify and flag factually incorrect, sensitive, inappropriate, or unclear material

Important note: This is project-based work. Tasks are availableย only when projects are active. You may be invited to one or more projects depending on your profile and current opportunities.

Each project has its own compensation level based on scope and expertise required. On this project, AI trainers earn up to $23 per hour equivalent.

Requirements

  • Bachelor's degree in any discipline
  • Minimum 1 year of experience in any professional role
  • Advanced level of English (C1 or higher), both written and spoken
  • Logical thinking, fact-checking and reasoning abilities
  • Strong attention to detail and ability to understand and follow complex instructions
  • Strong communication skills, including the ability to ask clarifying questions when needed
  • Genuine interest in technology and artificial intelligence

Benefits

Why this freelance opportunity might be a great fit for you?

  • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
  • Work on advanced AI projects and gain valuable experience that enhances your portfolio.
  • Influence how future AI models understand and communicate in your field of expertise.