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Seasonal Remote Data Annotation Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Seasonal Remote Data Annotation information

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

To thrive as a Seasonal Remote Data Annotation Specialist, you need strong attention to detail, basic computer literacy, and the ability to follow complex guidelines, typically supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes specialized software like image or text tagging systems is often required. Excellent time management, self-motivation, and clear written communication are critical soft skills for remote work success. These abilities ensure high-quality, accurate data output that supports machine learning projects and meets project deadlines.

What are some common challenges faced in a seasonal remote data annotation role, and how can they be managed?

Seasonal remote data annotation roles often require adapting quickly to fluctuating workloads and new annotation guidelines as projects change. Job seekers may find it challenging to maintain consistent accuracy and productivity while working independently from home, especially when handling repetitive tasks. To manage these challenges, it's helpful to establish a structured daily routine, stay updated on project instructions, and actively communicate with team leads or fellow annotators for clarification. Additionally, utilizing project management tools and regularly reviewing feedback can help maintain high-quality output throughout the season.

What is the difference between Seasonal Remote Data Annotation vs Data Labeling Specialist?

AspectSeasonal Remote Data AnnotationData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with familiarity in labeling tools
Work EnvironmentRemote, project-based, seasonalRemote or on-site, ongoing or project-based
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, computer vision
Search IntentSeasonal remote data annotation jobsData labeling jobs

Seasonal Remote Data Annotation involves short-term, project-based tasks focused on annotating data for AI models, often during peak seasons. Data Labeling Specialists may work year-round, providing ongoing data annotation services. While both roles require similar skills and tools, Seasonal Remote Data Annotation is typically temporary and tied to specific projects, whereas Data Labeling Specialists may have more continuous responsibilities.

What are seasonal remote data annotation jobs?

Seasonal remote data annotation jobs involve labeling and categorizing data—such as images, text, or audio—from home during busy periods when companies need extra help. These positions are typically temporary and align with peak business seasons or special projects. Data annotation is essential for training artificial intelligence and machine learning models to accurately interpret information. Working remotely in this role allows for flexible hours and the ability to contribute from anywhere with a reliable internet connection.
More about Seasonal Remote Data Annotation jobs
What cities are hiring for Seasonal Remote Data Annotation jobs? Cities with the most Seasonal Remote Data Annotation job openings:
What are the most commonly searched types of Seasonal Data Annotation jobs? The most popular types of Seasonal Data Annotation jobs are:
What states have the most Seasonal Remote Data Annotation jobs? States with the most job openings for Seasonal Remote Data Annotation jobs include:
Infographic showing various Seasonal Remote Data Annotation job openings in the United States as of May 2026, with employment types broken down into 4% As Needed, 1% Full Time, 81% Part Time, 3% Temporary, and 11% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution.

AI/ML Data Contributor

TSMG

Cheyenne, WY • Remote

Full-time

Posted 11 days ago


Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • 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 ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.