Posted:2 days ago|
Platform:
Hybrid
Internship
1. Assist in AI data collection and annotation projects: Help coordinate the workflow of data gathering and ensure that data is properly labeled for AI model training.
2. Support onboarding and engagement of global data contributors and freelancers: Assist in bringing new data contributors on board and maintain strong communication to ensure consistent engagement.
3. Collaborate with QA teams: Work with Quality Assurance teams to review the quality of data, ensuring that all project guidelines and standards are met.
4. Monitor project progress: Use dashboards and progress trackers to identify issues, potential risks, or delays, and help flag these to ensure timely resolution.
5. Collaborate with internal teams: Work closely with tools, vendor, and operations teams to ensure smooth project execution and timely delivery.
6. Prepare project updates and reports: Assist in creating internal and client-facing reports and documentation, updating stakeholders on the status of ongoing projects.
7. Follow data privacy and ethical AI guidelines: Learn and adhere to data privacy regulations and best practices related to compliance and ethical AI standards.
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