FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML model development and evaluation, with a strong foundation in data analysis and statistical modeling. Proficient in Python, R, or SQL, and possesses effective communication skills to convey insights and findings.
Highest-signal resume keywords
Natural Language Processing (NLP)Data AnalysisStatistical ModelingAI/ML Research ProjectsPython, R, or SQL
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML Model DevelopmentData CollectionFeature EngineeringModel ValidationStatistical ModelingData AnalysisNatural Language Processing (NLP)Large Language Models (LLMs)Generative AI ApplicationsAI Ethics
Soft Skills
Strong Written Communication SkillsStrong Verbal Communication SkillsAbility to Synthesize InformationIdentify ThemesCommunicate Insights Clearly
Tools & Technologies
AI Research ToolsVersion Control SystemsData Visualization Platforms
Industry Keywords
K–12 Education TechnologyAdaptive Learning SystemsAI-Driven Personalization
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Support development, testing, and evaluation of AI/ML models powering Amplify's educational products
- Help identify opportunities to apply AI/ML to personalized learning, content recommendations, and student outcomes
- Assist with data collection, cleaning, feature engineering, and model validation across structured and unstructured datasets
- Contribute to documentation, technical reports, model performance analyses, and research presentations
- Track and analyze model outputs to spot patterns, anomalies, and optimization opportunities
- Join product demos and Data Science/Product Manager meetings
- Build knowledge of Amplify's AI-driven products
Requirements
What you’ll need- Current enrollment in an undergraduate or graduate degree program
- Returning to school in Fall 2027
- Full-time availability from June 7, 2027 through August 13, 2027
- Must be authorized to work in the United States
- Must reside in the United States for the internship's duration
- Strong written and verbal communication skills
- Ability to synthesize information, identify themes, and communicate insights clearly
- Knowledge of and interest in the K–12 education technology field
- Working knowledge of Natural Language Processing (NLP), large language models (LLMs), or generative AI applications
- Experience with data analysis, statistical modeling, or AI/ML research projects
- Interest in AI ethics, responsible AI, adaptive learning systems, or AI-driven personalization
- Familiarity with Python, R, or SQL
- Exposure to AI research tools, version control systems, or data visualization platforms
- Background check required if selected
- Ability to provide additional documentation or undergo enhanced background screening if required by law or policy
Benefits
Comp & perks- Paid, remote 10-week internship
- Direct experience with AI/ML tools and frameworks used in EdTech
- Real-world challenges affecting educators, students, and families
- Collaboration with Data Science, Engineering, and Product teams
- Contributions to meaningful AI research and model development
- Mentorship from industry professionals
- Exposure to Machine Learning, NLP, Adaptive Learning, and AI Ethics
- Hands-on training in a fast-paced, agile environment
- Virtual speaker series featuring Amplify executives
- Product demos, team-building activities, and engagement initiatives
- Dedicated mentorship
- 2-day in-person experience at Amplify HQ
