Data Annotation Specialist (Internship)
✨ About Neuroscale.ai (arbiAI Team):
Neuroscale AI is at the forefront of revolutionizing talent screening, decision-making, and acquisition through cutting-edge generative agentic AI. Our Minimum Viable Product (MVP) has demonstrated significant promise, and we are poised for expansion.
Role Details:
We are seeking a Data Annotation Specialist Intern to join our team and contribute to the accuracy and consistency of our data processes. This internship offers an exciting opportunity to gain hands-on experience in a high-growth AI environment, with the potential to transition into a full-time role based on performance.
What You'll Do:
• Coordinate and Manage: Assist in overseeing the data review and annotation process, ensuring adherence to quality standards and project requirements.
• Data Evaluation: Review and analyze datasets for accuracy, completeness, and consistency, identifying and addressing discrepancies or errors.
• Team Collaboration: Work closely with internal teams to understand project objectives and requirements for data review and annotation.
• Guideline Development: Help create guidelines, protocols, and standard operating procedures for data review and annotation activities.
• Training Support: Collaborate in training data reviewers/annotators, offering guidance and feedback to achieve consistent results.
• Quality Assurance: Participate in regular quality control checks on reviewed/annotated data, recommending corrective measures when necessary.
• Process Improvement: Engage with cross-functional teams to address data-related issues and contribute to process enhancements.
• Data Insights: Assist in data analysis tasks, providing insights and actionable recommendations based on reviewed/annotated data.
️ What We're Looking For:
• Detail-Oriented: Exceptional attention to detail and accuracy in reviewing and annotating data.
• Team Player: Strong communication and interpersonal skills, with the ability to work effectively in a collaborative environment.
• Organizational Skills: Ability to prioritize tasks, manage time effectively, and adapt to changing project requirements.
• Analytical Mindset: Problem-solving skills with a knack for identifying actionable insights.
• Technical Acumen: Familiarity with data analysis tools (Excel, SQL, or data annotation platforms) is a plus.
• Machine Learning Knowledge: Interest in machine learning and experience with data labeling for machine learning models is advantageous.
• Programming Experience: Exposure to programming languages is a bonus but not required.
What You'll Gain:
• Hands-on experience in data annotation and quality assurance within a cutting-edge AI organization.
• Training and mentorship from experienced professionals.
• Exposure to the latest trends in AI and machine learning.
• Opportunity to contribute to impactful AI-driven projects.
• Consideration for a full-time position based on your performance and company needs.
❤️ Benefits for Interns:
• Flexible hybrid working arrangements.
• Access to professional development resources, including training sessions and learning stipends.
• Networking opportunities through company-led events, workshops, and mentorship programs.
• A dynamic, inclusive, and growth-oriented environment.
Apply Now
Apply Now
Neuroscale AI is at the forefront of revolutionizing talent screening, decision-making, and acquisition through cutting-edge generative agentic AI. Our Minimum Viable Product (MVP) has demonstrated significant promise, and we are poised for expansion.
Role Details:
We are seeking a Data Annotation Specialist Intern to join our team and contribute to the accuracy and consistency of our data processes. This internship offers an exciting opportunity to gain hands-on experience in a high-growth AI environment, with the potential to transition into a full-time role based on performance.
What You'll Do:
• Coordinate and Manage: Assist in overseeing the data review and annotation process, ensuring adherence to quality standards and project requirements.
• Data Evaluation: Review and analyze datasets for accuracy, completeness, and consistency, identifying and addressing discrepancies or errors.
• Team Collaboration: Work closely with internal teams to understand project objectives and requirements for data review and annotation.
• Guideline Development: Help create guidelines, protocols, and standard operating procedures for data review and annotation activities.
• Training Support: Collaborate in training data reviewers/annotators, offering guidance and feedback to achieve consistent results.
• Quality Assurance: Participate in regular quality control checks on reviewed/annotated data, recommending corrective measures when necessary.
• Process Improvement: Engage with cross-functional teams to address data-related issues and contribute to process enhancements.
• Data Insights: Assist in data analysis tasks, providing insights and actionable recommendations based on reviewed/annotated data.
️ What We're Looking For:
• Detail-Oriented: Exceptional attention to detail and accuracy in reviewing and annotating data.
• Team Player: Strong communication and interpersonal skills, with the ability to work effectively in a collaborative environment.
• Organizational Skills: Ability to prioritize tasks, manage time effectively, and adapt to changing project requirements.
• Analytical Mindset: Problem-solving skills with a knack for identifying actionable insights.
• Technical Acumen: Familiarity with data analysis tools (Excel, SQL, or data annotation platforms) is a plus.
• Machine Learning Knowledge: Interest in machine learning and experience with data labeling for machine learning models is advantageous.
• Programming Experience: Exposure to programming languages is a bonus but not required.
What You'll Gain:
• Hands-on experience in data annotation and quality assurance within a cutting-edge AI organization.
• Training and mentorship from experienced professionals.
• Exposure to the latest trends in AI and machine learning.
• Opportunity to contribute to impactful AI-driven projects.
• Consideration for a full-time position based on your performance and company needs.
❤️ Benefits for Interns:
• Flexible hybrid working arrangements.
• Access to professional development resources, including training sessions and learning stipends.
• Networking opportunities through company-led events, workshops, and mentorship programs.
• A dynamic, inclusive, and growth-oriented environment.
Apply Now
Apply Now