Description
About Appen
Appen, a global AI leader, stands at the forefront with a network of over a million skilled contractors spanning 130 countries. We leverage cutting-edge AI-driven data annotation techniques to enhance AI systems for major tech companies and various industries. Our core values include a commitment to ethical AI and fostering a diverse and inclusive environment.
We are on a mission to elevate the standards of information shared on social media, to make a significant impact. As a Social Media Evaluator, you will play a pivotal role in shaping the quality and credibility of information online. This is a fantastic opportunity for individuals who are passionate about promoting trustworthy content in the digital space.
Key Responsibilities:
- Review and evaluate posts on various social media platforms.
- Identify and analyze the quality of information shared.
- Provide constructive feedback to enhance content credibility.
Key Requirements:
- Commitment to 20 hours per week.
- Operating a social media account with a willingness to provide a personal link for validation.
- Access to a computer and a reliable internet connection.
- Native/Bilingual proficiency in both written and spoken English and Russian.
- Strong internet research skills.
- Attention to detail and the ability to analyze information critically.
To register and become a part of this exciting project, simply submit your application and we'll be in touch.
Join us in making a positive impact on social media information integrity. We look forward to welcoming you to the Uolo v2 team!
This role is a project-based opportunity with CrowdGen, where you will join as an Independent Contractor. If selected, you’ll receive an email from CrowdGen to create your account, reset your password, complete the setup, and proceed with your application.
USD 9.17 - 9.17 per-hour-wage
Company
Appen provides data and annotation services for AI model development, offering diverse, expert-validated datasets across language, vision, and multimodal domains. The company positions its data as essential for training frontier AI models, with a history spanning more than 30 years and milestones in NLP, search relevance, machine translation, image annotation, transformer-era data, GPT-3 training, RLHF, and multimodal foundation models. By combining human insight with scalable annotation workflows, Appen supports customers in building AI systems that require nuanced understanding and robust real-world performance.
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