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Flexible Data Annotation Tech Jobs in Raleigh, NC

Data Engineer

Raleigh, NC

$111K - $133K/yr

Continuously learn and evaluate emerging data platform technologies. Qualifications * Bachelor ... Personal leave, flexible scheduling, floating holidays, and half-day Fridays. * Financial Wellness:

Data Engineer

Raleigh, NC

$111K - $133K/yr

Continuously learn and evaluate emerging data platform technologies. * Bachelor's degree in ... Personal leave, flexible scheduling, floating holidays, and half-day Fridays. * Financial Wellness:

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Continuously learn and evaluate emerging data platform technologies. Qualifications * Bachelor ... Personal leave, flexible scheduling, floating holidays, and half-day Fridays. * Financial Wellness:

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Continuously learn and evaluate emerging data platform technologies. Qualifications * Bachelor ... Personal leave, flexible scheduling, floating holidays, and half-day Fridays. * Financial Wellness:

Collaborate with business & IT partners to understand user needs in line with Data Management ... Personal leave, flexible scheduling, floating holidays, and half-day Fridays. * Financial Wellness:

Collaborate with business & IT partners to understand user needs in line with Data Management ... Personal leave, flexible scheduling, floating holidays, and half-day Fridays. * Financial Wellness:

Collaborate with business & IT partners to understand user needs in line with Data Management ... Personal leave, flexible scheduling, floating holidays, and half-day Fridays. * Financial Wellness:

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Flexible Data Annotation Tech information

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How much do flexible data annotation tech jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for flexible data annotation tech in Raleigh, NC is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $26.39 per hour, depending on experience, location, and employer.

What is a flexible data annotation tech?

Flexible Data Annotation Tech jobs involve labeling, categorizing, or tagging data—such as images, text, audio, or video—to help train machine learning models. These roles are often remote or offer flexible schedules, making them appealing for those seeking adaptable work hours. Tasks can include identifying objects in photos, transcribing audio, or sorting information based on specific guidelines. The work is essential for improving the accuracy of artificial intelligence systems by providing them with high-quality annotated data. No advanced technical skills are usually required, but attention to detail and reliability are important.

What are the key skills and qualifications needed to thrive as a flexible data annotation tech, and why are they important?

To thrive as a Flexible Data Annotation Tech, you need attention to detail, accuracy, and a basic understanding of data labeling or annotation processes, often requiring at least a high school diploma. Familiarity with annotation platforms, data labeling tools, and productivity software is typically necessary, and experience with machine learning datasets can be advantageous. Strong time management, communication, and adaptability help you excel in collaborative and ever-changing project environments. These skills ensure high-quality, consistent data output that directly impacts the performance of AI and machine learning systems.

What are some common challenges faced by flexible data annotation techs, and how can they be addressed?

Flexible Data Annotation Techs often encounter challenges such as maintaining consistency across large volumes of data, adapting to evolving project guidelines, and managing tight deadlines. To address these challenges, it's important to establish clear communication with project leads, regularly review annotation protocols, and utilize available training resources. Building strong attention to detail and staying organized can also help ensure high-quality outputs and job satisfaction.

What is the difference between Flexible Data Annotation Tech vs Data Labeler?

AspectFlexible Data Annotation TechData Labeler
CredentialsBasic computer skills, training in annotation toolsBasic education, sometimes specific software training
Work EnvironmentRemote or on-site, tech-focusedPrimarily remote or on-site, data processing settings
Industry UsageAI, machine learning, data scienceAI, machine learning, data preparation
Job FocusApplying labels to datasets using annotation toolsLabeling data according to guidelines

Flexible Data Annotation Tech roles involve using specialized tools to annotate datasets for AI training, often requiring some technical training. Data Labelers focus on applying labels to data, typically with less technical complexity. Both roles are essential in AI development but differ mainly in technical requirements and scope.

Can I do data annotation with no experience?

Data annotation roles often do not require prior experience, as training is typically provided to teach specific labeling tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Over time, developing familiarity with annotation software and understanding data types can improve efficiency and accuracy.

Do data annotation jobs offer flexible hours?

Data annotation jobs often offer flexible hours, allowing workers to choose when they complete tasks, especially in freelance or remote roles. However, some positions may have specific deadlines or part-time schedules depending on the employer or platform used. Flexibility can vary based on the company's policies and project requirements.

What are the most commonly searched types of Data Annotation Tech jobs in Raleigh, NC?

The most popular types of Data Annotation Tech jobs in Raleigh, NC are:

What are popular job titles related to Flexible Data Annotation Tech jobs in Raleigh, NC?

For Flexible Data Annotation Tech jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Flexible Data Annotation Tech jobs in Raleigh, NC look for?

The top searched job categories for Flexible Data Annotation Tech jobs in Raleigh, NC are:

Infographic showing various Flexible Data Annotation Tech job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $46,186 per year, or $22.2 per hour.

Creador(a) de Contenido POV para IA - Remoto

Raleigh, NC • On-site

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Buscas una forma flexible de generar ingresos extra?

Estamos invitando personas a participar en un proyecto de entrenamiento de IA grabando actividades reales de su dia a dia desde casa.

Graba cuando quieras, utilizando tu propio dispositivo, mientras realizas actividades cotidianas como cocinar, limpiar, organizar espacios o realizar tareas domesticas.

Lo que ofrecemos:

Trabajo remoto y flexible
USD $10 por hora de contenido aprobado
Bono por la primera hora aprobada
Sin experiencia previa

Requisitos:

iPhone 12 o superior, Google Pixel 6+ o Samsung Galaxy S21+ o superior
Nivel basico de ingles
Acceso a internet

Tus grabaciones ayudaran a entrenar la proxima generacion de sistemas de IA y robotica.