As an AI Data Annotation Specialist, you will annotate, label, and curate data for machine learning models, ensuring quality and collaboration with a global team.
Help shape the future of AI! We’re seeking detail-oriented freelancers to join a global AI data annotation project. As an AI Data Annotation Specialist, you’ll annotate, label, and curate data that powers advanced machine learning models. Your work—tagging images, labeling text, or collecting documents—will directly impact the accuracy and performance of AI systems used worldwide.
Key Responsibilities
- Annotate & Label: Tag, categorize, and review text, images, and documents.
- Collect Data: Gather and organize high-quality datasets for AI training.
- Ensure Quality: Review and validate data for precision and consistency.
- Collaborate Globally: Work with an international team to hit project milestones.
Flexible Hours
- Work up to 10 hours per day, 40 hours per week—on your schedule.
Qualification path
Basic Requirements
- Strong attention to detail and ability to follow precise instructions.
- Reliable internet connection and ability to work independently.
- Prior experience in data annotation or labeling is a plus, but not required.
- Basic understanding of AI or machine learning concepts is advantageous.
- Strong proficiency in English for clear communication and reporting.
Assessment
To qualify, you will:
- Complete an initial qualification assessment to demonstrate suitability for the role.
- Provide ID verification for participation.
Payment
- Freelance rates range from $6–$18 USD per hour, depending on experience, geographic location, and project requirements.
- Payment is competitive and reflects the value of your contributions to AI training projects.
Top Skills
AI
Data Annotation
Machine Learning
Similar Jobs
AdTech • Big Data • Digital Media • Marketing Tech • Database • Automation
As a Demand Generation Lead, you'll execute multi-channel marketing programs, optimize campaigns across email, paid media, and social, and collaborate with sales for pipeline growth.
Top Skills:
GongHubspotLeadiqLinkedin Sales NavigatorSalesforce
Big Data • Fintech • Mobile • Payments • Financial Services
The Analyst II will provide data-driven insights and support to the sales team, define performance metrics, leverage AI tools, and ensure effective communication of strategies across teams.
Top Skills:
Ai Tools (CursorClaude)LookerPythonSigmaSQLTableau
Big Data • Fintech • Mobile • Payments • Financial Services
As a Software Engineering Apprentice, you will collaborate with engineers to build infrastructure, ship code, and gain mentorship while contributing to critical projects over a 6-month apprenticeship.
Top Skills:
Backend DevelopmentCodingSoftware Engineering
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

