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Seasonal Remote Data Annotation Jobs in Texas (NOW HIRING)

YO AI Labs

AI Finance Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

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Seasonal Remote Data Annotation information

What is a seasonal remote data annotation job?

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.

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

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 the most commonly searched types of Seasonal Data Annotation jobs in Texas?

The most popular types of Seasonal Data Annotation jobs in Texas are:

What are popular job titles related to Seasonal Remote Data Annotation jobs in Texas?

For Seasonal Remote Data Annotation jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Seasonal Remote Data Annotation jobs in Texas look for?

The top searched job categories for Seasonal Remote Data Annotation jobs in Texas are:

Seasonal Remote Data Annotation jobs near you

AI Trainer - Freelance Data Annotator

Mindrift - Data annotation

San Antonio, TX • Remote

$23/hr

Part-time

Re-posted 4 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.

Apply