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R

Data Annotator

RemoteFront

Remote · Tiempo parcial

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Experiencia
Cualquier
Salario
USD 15 – USD 20 / hour
Vacantes
1
Al corriente
hace 1 hora
Modo de trabajo
Trabajar desde casa
Educación
Cualquier graduado
Elegibilidad
Applicants from the United States who can work remotely and are comfortable handling repetitive, detail-oriented labeling tasks can apply. No degree or prior annotation background is required.
Reanudar
Se requiere solicitud

Descripción del trabajo

About the company

NoGigiddy is an online platform designed for people earning outside the standard 9-to-5 model, including gig workers, side hustlers, and others looking for flexible income options. The platform brings together remote jobs, surveys, clinical trials, gig platforms, and financial tools in one free-to-access place.

Role overview

This opening is for a Data Annotator to support AI model training. The work involves reviewing and marking up text, images, audio, and video so machine learning systems can learn from accurately labeled data. Prior experience in tech or annotation is not necessary; what matters most is careful attention to detail and the ability to follow instructions consistently.

Key responsibilities

In this role, you will help prepare datasets for AI training by applying labels and categories accurately. You will also identify unclear or sensitive content for escalation, stay aligned with quality standards, and complete work within assigned timelines.

Additional information

Location is listed as Atlanta, Georgia, United States, and Long Beach, California, United States, with the workplace set as remote. The department is remote work. Equal opportunity hiring applies, and the company notes a commitment to diversity and inclusion.

Compensation and work setup

The position pays $15 to $20 per hour. It is fully remote across the United States and offers flexible scheduling within project windows. No prior experience is required, and training is provided for each task type. The role also offers access to a broader network of earning opportunities and a steady flow of AI training assignments.

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