Gemini Education Data Annotator - AI Training

• Rate: $20/hr
• Hours: 40 hours / week
• Experience: 1 - 3 years

Help improve AI systems by reviewing and annotating education-focused content and conversations from the Gemini App. This remote freelance project is designed for students, recent graduates, and experienced contributors who already use Gemini for genuine learning or academic work.

• Analyze complex content, research questions, datasets, and logical problems.
• Verify claims using reliable online sources and summarize information clearly.
• Evaluate AI-generated responses, identify issues, and provide accurate corrections with concise explanations.
• Create analytical annotations and scenarios that help improve large language model quality.

• An established Gemini App account with at least 10 genuine conversations about education, learning, academics, exam preparation, research, projects, or skill development. The account must already exist and have been used naturally before this project.
• Fluency in U.S. English, with strong reading, writing, comprehension, and communication skills.
• Strong research, analysis, logical reasoning, problem-solving, and response-evaluation ability.
• Ability to provide clear feedback and work independently in a remote environment.
• Students and freshers are welcome to apply.

• Study or experience in engineering, literature, journalism, communications, arts, statistics, research, writing, editing, translation, or a related analytical field.
• Familiarity with spreadsheets, Google Workspace, basic arithmetic, and AI-assisted research tools.

• Remote freelance AI-training and data-annotation project.
• Expected project duration of approximately 16 weeks.
• Full-time availability is required. Project volume may vary, and workload is not guaranteed.
• United States only.

$20 USD per hour.

Candidates who submit the required JSON file and are hired will receive a one-time $50 payment.

Company:
Gemini Education Data Annotator - AI Training

Location:

Data

United States only