Data Labeling Specialist

Independent Contractor: Data Labeling Specialist - Project Coffee

About the Project:

Join Appen's CrowdGen team as an Independent Contractor for Project Coffee, a high-volume data labeling initiative driving the future of AI. This fast-paced project requires English speakers who thrive in dynamic environments and are ready to contribute to scalable data solutions.

Your Responsibilities:

• Successfully complete a qualification task to gain access to a variety of tasks, including image editing, conversation tagging, and product image pair analysis.
• Accurately and consistently perform validation and tagging tasks.
• Create short-form video recordings (approximately 90 seconds) providing reactions to images.

What We're Looking For:

• Adaptable and detail-oriented individuals with a strong commitment to accuracy.
• Excellent communication skills and the ability to work independently.
• A passion for contributing to cutting-edge AI development.

Qualifications:

• English Proficiency: Native or near-native fluency in English is required.
• Attention to Detail: Ability to accurately follow instructions and consistently maintain high quality output.
• Tech Savvy: Comfortable using computers and basic software applications.
• Time Management: Ability to manage time effectively and meet deadlines in a fast-paced environment.
• Adaptability: Willingness to learn new tools and processes quickly and adjust to changing project requirements.
• Video Recording Capability: Access to a reliable internet connection and a device with a working camera and microphone for creating short-form video recordings.

Project Coffee - Data Labeling Specialist

Task Execution

• Accurately complete assigned data labeling tasks within established timeframes.
• Perform validation and tagging tasks with precision and consistency, adhering to project guidelines.
• Create short-form video recordings (approximately 90 seconds) providing reactions to images, ensuring clear audio and video quality.

Quality Assurance

• Maintain a high level of accuracy and attention to detail in all tasks.
• Adhere to project-specific instructions and quality standards.
• Proactively identify and report any potential issues or inconsistencies.

Project Engagement

• Actively participate in project-related communication channels.
• Demonstrate adaptability and willingness to learn new tasks and processes.
• Contribute to a positive and collaborative team environment.

Candidates interested in the Data Labeling Specialist role at Appen's CrowdGen team for Project Coffee will first be required to complete a qualification task within the project tool. This task will assess their ability to perform the core functions of the role, such as validation, tagging, and creating short-form video recordings. Successful completion of the qualification task grants access to a variety of tasks within the project.

Throughout the project, performance will be continuously monitored for accuracy and consistency. Appen values speed, scalability, and adaptability, so contributors who demonstrate these qualities will be prioritized.

Appen is a global leader in providing high-quality training data for the development of artificial intelligence (AI). Through a vast network of independent contractors, Appen collects and annotates diverse data, including text, images, audio, and video. This data fuels the advancement of AI applications across various industries, such as search, voice recognition, and autonomous driving. Appen's commitment to quality, scale, and innovation makes it a trusted partner for leading technology companies worldwide.