DATA ANNOTATOR

Maragogi Transfer; United States; A distancia; USD 32.000 - 52.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work opportunity

Competitive pay

Paid training

Flexible scheduling

Career growth

Descripción de la vacante

Maragogi Transfer seeks an Entry-Level Data Annotator to join our IT team in a fully remote position based in New York. You will label, categorize, and review data to support ML models, contributing to data quality and AI development.

The role is an excellent entry point for a career in data operations and technology. No prior professional experience is required; candidates should be detail-oriented, eager to learn, and capable of working independently in a remote setting.

Formación

• High school diploma or equivalent; related field degree is a plus.
• No prior professional experience required; entry-level candidates welcome.
• Strong attention to detail and accuracy.
• Good written and verbal communication in English.
• Familiarity with online tools and platforms.

Responsabilidades

• Label and annotate text, image, audio, and video data according to guidelines.
• Review and verify annotated data for accuracy and consistency.
• Follow detailed annotation instructions and quality standards.
• Identify and flag ambiguous or incorrect data records.
• Collaborate with data scientists and project leads on labeling requirements.
• Meet productivity targets while maintaining high accuracy.
• Use annotation tools and platforms to complete tasks efficiently.
• Participate in quality assurance reviews and suggest guideline improvements.
• Maintain confidentiality and data security when handling sensitive information.
• Continuously learn new annotation techniques and tools.

Conocimientos

Attention to detail

English proficiency

Time management

Independent work

Educación

High school diploma

Related field degree (plus)

Herramientas

Spreadsheets

Data entry tools

Descripción del empleo

Description

Maragogi Transfer is seeking an Entry-Level Data Annotator to join our Information Technology team. This full-time & Part-Time, fully remote position is based in New York and offers an excellent opportunity to build a foundation in data quality, machine learning support, and AI development within a growing technology environment.

As a Data Annotator, you will label, categorize, and review data to help train and validate machine learning models. Your work will directly contribute to the accuracy and reliability of the technology solutions our organization delivers, making this role a valuable entry point into the fast-moving world of data and artificial intelligence.

This position is offered at a competitive yearly salary in USD. It is well suited to motivated individuals who are detail-oriented, eager to learn, and interested in building a career in data operations and technology.

Responsibilities

• Label and annotate text, image, audio, and video data according to project guidelines
• Review and verify annotated data to ensure accuracy and consistency
• Follow detailed annotation instructions and quality standards
• Identify and flag ambiguous, incomplete, or incorrect data records
• Collaborate with data scientists and project leads to clarify labeling requirements
• Meet productivity targets while maintaining high accuracy levels
• Use annotation tools and platforms to complete assigned tasks efficiently
• Participate in quality assurance reviews and provide feedback on guideline improvements
• Maintain confidentiality and data security standards when handling sensitive information
• Continuously learn new annotation techniques and tools to improve workflow efficiency

Requirements

• High school diploma or equivalent; a degree in a related field is a plus
• No prior professional experience required; entry-level candidates are encouraged to apply
• Strong attention to detail and commitment to accuracy
• Good written and verbal communication skills in English
• Basic computer literacy and comfort with online tools and platforms
• Ability to follow structured guidelines and adapt to changing requirements
• Self-motivated, reliable, and able to work independently in a remote setting
• Familiarity with spreadsheets or data entry tools is preferred
• Interest in artificial intelligence, machine learning, or data science is a strong advantage
• Strong time management skills and ability to meet deadlines

What We Offer

• Remote work opportunity
• Competitive hourly compensation
• Flexible scheduling depending on project requirements.
• Paid training and onboarding.
• Ongoing support and clear project guidelines.
• Performance-based incentives where applicable.
• Opportunities to work on AI and technology-related projects.
• Potential for long-term assignments and professional growth.