Data Annotation Intern

About the Role

We're looking for detail-oriented Data Annotators with strong analytical and quantitative backgrounds to create, review, and validate datasets for training and evaluating AI models. You will work on tasks involving scientific and mathematical content, logical reasoning, numerical problem-solving, and evaluating the accuracy of AI-generated responses.

Key Responsibilities

• Annotate, classify, and label datasets involving scientific and mathematical content.
• Evaluate AI-generated responses for mathematical accuracy, logical consistency, and correctness.
• Review numerical problems, equations, calculations, and scientific information.
• Validate AI-generated solutions and identify errors or inconsistencies.
• Perform data classification, annotation, and quality validation.
• Conduct quality checks to ensure accuracy, consistency, and completeness.
• Meet defined quality and productivity targets.

Requirements & Tech Stack

• Degree in Mathematics, Physics, Statistics, Engineering, or other quantitative disciplines.
• Strong analytical, mathematical, and logical reasoning skills.
• Good understanding of mathematical concepts and problem-solving.
• Excellent attention to detail and ability to identify errors.
• Good written and verbal English communication.
• Comfortable working with large datasets and repetitive tasks.
• Internship Duration: 1 month (with potential extension)
• Work Location: Remote

What You'll Gain

• Hands-on experience in AI data annotation and model evaluation.
• Exposure to scientific and mathematical AI evaluation workflows.
• Opportunity to work on real-world AI training and validation tasks.
• Development of analytical, problem-solving, and quality assurance skills.