Remote Image Data Annotator (Contract)

Crossing Hurdles; New Zealand; A distancia; NZD 52.000 - 87.000; Jornada completa

Descripción de la vacante

Crossing Hurdles is seeking a Generalist for Data Annotation to work remotely on image-based projects. This contract role offers flexible hours and requires meticulous annotation across diverse datasets.

You will annotate, review, and document labeling decisions, collaborating with stakeholders to clarify requirements and ensure high-quality outputs. Prior experience with annotation tools and independent project work is valued.

Formación

• Demonstrated expertise in data annotation, with a focus on image-based projects.
• Strong written and verbal communication skills for effective remote collaboration.
• Meticulous attention to detail and a commitment to producing high-quality, accurate annotations.
• Proficiency in using annotation tools and platforms for image datasets.
• Experience working independently on complex projects and meeting project goals.
• Ability to adapt to new guidelines, tools, or project requirements as needed.

Responsabilidades

• Precisely annotate and categorize image data according to detailed project guidelines.
• Review and validate annotations for consistency and quality, identifying and correcting any discrepancies.
• Provide constructive feedback on annotation processes, contributing to continuous improvement.
• Collaborate with project participants and stakeholders to clarify requirements and resolve questions.
• Document annotation methodologies and articulate rationale for labeling decisions.
• Adapt to evolving annotation standards and quickly integrate feedback into your workflow.

Conocimientos

Data annotation

Image data

Remote collaboration

Attention to detail

Independent work

Quality review

Herramientas

Annotation tools

Descripción del empleo

Crossing Hurdles is seeking a Generalist for Data Annotation to work remotely on image-based projects. This contract role offers flexible hours and requires meticulous annotation across diverse datasets.

You will annotate, review, and document labeling decisions, collaborating with stakeholders to clarify requirements and ensure high-quality outputs. Prior experience with annotation tools and independent project work is valued.