We are seeking an experienced AI expert (e.g., Machine Learning Engineer, Software Engineer, or similar) to develop a limited-scope, AI-driven tool for conducting preliminary fidelity assessments of AERO reading curriculum lessons. AERO serves children in Pre-K through Grade 2 through one-on-one teacher–student sessions. The goal is to create an intelligent system that processes video recordings and / or cleaned transcripts to identify deviations from lesson plans, verify instructional adherence, and flag key segments for further human review.
Responsibilities :
- Data Input & Preprocessing
- Handle raw video and cleaned transcript inputs (with PII removed)
- Duration Analysis
- Extract or utilize timestamps to calculate time spent on each instructional activity
- Compare actual durations with scheduled lesson plan timing
- Activity Completion Verification
- Cross-reference transcript / video content with lesson plans
- Ensure prescribed activities occur in correct sequence
- Instructional Completeness Assessment
- Detect presence of required letters, sounds, and vocabulary elements
- Sentiment Analysis
- Identify teacher praise
- Evaluate emotional tone of the session
- Adherence to Lesson Script
- Map transcripts / videos to scripted lesson steps
- Child Engagement Metrics
- Implement metrics (e.g., word counts) to estimate child participation levels
- Iteratively improve solution accuracy and performance
- Documentation & Delivery
- Deliver code with complete technical documentation
- Provide usage instructions and test results
- Ensure hand-off readiness for non-technical stakeholders
Requirements :
Expertise in Artificial Intelligence / Machine LearningStrong background in Natural Language Processing or Computer VisionProgramming proficiency in Python (or comparable languages)Experience with AI frameworks / libraries such as TensorFlow, PyTorch, spaCy, OpenCV, Hugging Face TransformersCapability to handle video / audio transcription, timestamp extraction, and segmentationUnderstanding of data privacy, including de-identification and ethical AI practicesAbility to communicate complex solutions in a clear and accessible wayEducation & Experience :
Master's degree or higher in Computer Science, Data Science, Artificial Intelligence, or a related fieldDemonstrated experience building and deploying ML / NLP / CV-based applicationsPortfolio or GitHub showcasing relevant projects, especially those intersecting with education, speech processing, or instructional analysisJ-18808-Ljbffr