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Seasonal Online Data Annotation Jobs (NOW HIRING)

... online -- to assess where and why systems are underperforming and quantify the impact of ... annotation guidelines and ensuring label quality. • Evaluate and apply the appropriate approach ...

Data Scientist II

Chicago, IL · On-site

$138 - $172/hr

Build measurement and evaluation frameworks -- both offline and online -- to assess where and why ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...

Build measurement and evaluation frameworks - both offline and online - to assess where and why ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...

Data Scientist II

Chicago, IL · On-site +1

$130K - $150K/yr

Build measurement and evaluation frameworks -- both offline and online -- to assess where and why ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...

Build measurement and evaluation frameworks -- both offline and online -- to assess where and why ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...

Build measurement and evaluation frameworks - both offline and online - to assess where and why ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...

Tamil Translator (Remote) | Sigma AI

$45K - $58K/yr

Sigma is a leading global technology company specializing in data collection and annotation for ... online platform available 24/7. This opportunity is offered for freelancers under a commercial ...

Sigma is a leading global technology company specializing in data collection and annotation for ... All tasks are remote , performed through an online platform available 24/7. This opportunity is ...

Who we are ACV is a technology company that has revolutionized how dealers buy and sell cars online ... Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for ...

Showing results 21-40

Seasonal Online Data Annotation information

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

AspectSeasonal Online Data AnnotationData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certification required
Work EnvironmentRemote, flexible hours during peak seasonsRemote or on-site, consistent work environment
Industry UsageUsed mainly in AI training for seasonal projectsUsed broadly across AI, machine learning, and data science
Search & Comparison IntentUnderstanding seasonal data annotation rolesUnderstanding general data labeling roles

Seasonal Online Data Annotation involves temporary, project-based tasks focused on annotating data for specific seasonal AI applications. Data Labeling Specialists perform ongoing data annotation tasks across various projects. While both roles require attention to detail and similar skills, Seasonal Online Data Annotation is typically temporary and project-specific, whereas Data Labeling Specialists often have more consistent, long-term roles.

What are some common challenges faced in a seasonal online data annotation role, and how can I prepare for them?

One of the main challenges in a Seasonal Online Data Annotation role is maintaining consistent accuracy and attention to detail over long periods of repetitive work. Deadlines can be tight, especially during peak project periods, making time management crucial. Additionally, guidelines for annotation tasks may change or require frequent clarification, so adaptability and clear communication with supervisors are important. To prepare, familiarize yourself with annotation tools, practice following detailed instructions, and develop strategies to stay focused and motivated during repetitive tasks.

What are the key skills and qualifications needed to thrive as a seasonal online data annotation specialist?

A strong attention to detail, proficiency in data entry, and basic computer literacy are essential for success as a Seasonal Online Data Annotation specialist, typically requiring at least a high school diploma. Familiarity with annotation platforms, spreadsheets, and quality assurance tools is often expected. Excellent time management, adaptability, and communication skills help individuals work efficiently and collaborate remotely. These abilities ensure high-quality, accurate data labeling that directly impacts machine learning and AI model performance.

What is a seasonal online data annotation job?

Seasonal online data annotation jobs involve labeling or categorizing data—such as images, text, or audio—for machine learning purposes during specific peak periods. These roles are typically temporary and align with times of increased demand, such as during product launches or holidays. Data annotators work remotely to identify and tag relevant features in datasets, helping companies train and improve AI systems. No advanced technical skills are usually required, but attention to detail and reliability are important. Many companies hire seasonal annotators to quickly scale up their data processing capabilities for short-term projects.
More about Seasonal Online Data Annotation jobs
What cities are hiring for Seasonal Online Data Annotation jobs? Cities with the most Seasonal Online 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 Online Data Annotation jobs? States with the most job openings for Seasonal Online Data Annotation jobs include:
Infographic showing various Seasonal Online Data Annotation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Freelance Annotator (English) - AI Trainer

Mindrift - Data annotation

Dallas, TX • Remote

$23/hr

Part-time

Posted 22 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 in 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 available 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.