Job Closed
This listing is no longer active.
Virtual Learning Instructor- Art
Location
United States
Posted
51 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
Virtual Learning Instructor- Art
Grapevine-Colleyville ISD
Role Description The Grapevine-Colleyville ISD virtual school is seeking a smart, experienced, and passionate individual who wants to work in a student-centered environment of respect and trust with high expectations for all members of the community. The certified Virtual Learning Instructor will “virtually” manage instructional programs by providing synchronous and asynchronous online instruction for students in their content area(s). - Monitor progress, evaluate work, and conduct online instruction. - Provide online and face-to-face tutorial sessions. - Offer academic guidance and be the subject-matter expert for students. - Consult regularly with program staff, parents, and students. - Provide appropriate learning activities and experiences in the core academic subject area assigned. - Enable students to develop competencies and skills to function successfully in society. Qualifications - Bachelor’s degree from an accredited university; Masters preferred. - Valid Texas teaching certificate in specified area for grades 5-12. - Required endorsements or training for subject and level assigned. - Demonstrated competency in the core academic subject area assigned. - Must have one of the certifications listed below in addition to the posted certification: - Core Subject Area: ELA, Science, Math, Social Studies (grades 5-8 and/or 9-12) - Theatre K-12 - Music K-12 - Computer Science 8-12 - Business & Finance 6-12 - Marketing 6-12 - Physical Education EC-12 - Health EC-12 - Communication Applications EC-12 - Technology Applications EC-12 - Health Science 6-12 - Other CTE/Elective Area Requirements - Knowledge of core academic subject assigned. - General knowledge of curriculum and instruction. - Strong organizational, communication, and interpersonal skills. - Strong technology skills (Google suite, Adobe, Microsoft OS and Programs, Canvas). - Excellent communication skills, both oral and written. - Customer-focused approach. - High degree of flexibility and willingness to work non-traditional hours. - Demonstrated ability to work well in a fast-paced environment. - Team player track record. - Willingness to travel on occasion for marketing and state testing events. - Ability to work remotely and in an office as necessary. - Ability to learn new technology tools quickly. - Ability to support and guide adults as well as students. - Ability to work some evening and weekend hours weekly. - Three years of teaching experience with a preference for online instruction. Major Responsibilities and Duties - Devise and implement virtual methods of creating and maintaining a “school community.” - Tutor struggling students in small groups or one-on-one. - Provide diagnostic, prescriptive, and evaluative services for identified students. - Complete all grading, create progress reports, and conduct parent conferences in a timely manner. - Review curriculum and devise alternate approaches to presenting lessons. - Create and digitize concept teachlets, lessons, and supplemental lessons. - Demonstrate knowledge of the state TEKS standards and how to align with the online curriculum. - Communicate with parents, students, and other teachers regularly. - Understand the overall diversity of assigned families and individual characteristics of students/parents. - Establish and maintain a positive rapport with assigned families. - Support students with the setup and maintenance of their learning environment. - Support students through basic computer troubleshooting. - Work collaboratively with other teachers to ensure student progress. - Develop a general knowledge of the entire program’s curriculum. - Assess student learning styles and use results to plan instructional activities. - Work cooperatively with special education teachers to meet specific student accommodations. - Help students analyze and improve study methods and habits. - Teach students and parents academic integrity and virtual etiquette expectations. - Conduct ongoing assessment of student achievement through formal and informal testing. - Communicate high expectations and show an active interest in student achievement. - Alert administrators to any concerns about student performance and progress. - Keep student records and data up-to-date. - Consult with other teachers and staff learning specialists to develop alternate enrichment activities. - Coordinate social activities and relevant field trips for students. - Sponsor a school club and manage regional field trips. - Participate in the organization and administration of State Mandated Testing. - Participate in student recruiting sessions and other marketing efforts. - Attend community activities implemented for families. - Demonstrate a high level of effectiveness. - Adhere to the principles as listed in the Code of Ethics and Standard Practices for Texas Educators. - Keep informed of, and comply with, state, district, and school regulations and policies. - Display dependability and punctuality in all assigned duties. - Travel to and participate in staff meetings and professional development sessions as required. - Other duties as assigned. Supervisory Responsibilities - None.
Related Guides
Related Job Pages
More Machine Learning Engineer Jobs
• Defining the model development methodologies and best practices, following the whole life cycle with a central role in choosing the technological stack; • Supporting the productionalization and evolution of the Oracles, entities that through machine learning pilot the behavior of Prima's microservices; • Developing the tools (packages, microservices, pipelines...) that you deem fundamental for your and your team job; • Growing, reading, and experimenting to always be up to speed with emerging technology.
• Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI) • Maintain and version model registries and artifact stores to ensure reproducibility and governance • Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment • Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML • Scale end-end custom Sagemaker pipelines • Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted • Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs • Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing • Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization • Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems • Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions • Collaborate and interface with Operations Engineers who deploy and run production infrastructure.
Machine Learning, Game Tech Architect
CD PROJEKT S.A.CD Projekt S.A. is home to over 1,100 professionals from multiple countries who share a passion for video games. Best known for developing Cyberpunk 2077 and Th
• Responsible for the architecture of hybrid game and ML systems, serving as the primary contact for integrating machine learning into game systems. • Design, develop and maintain learning and non-learning systems. • Keep current on the latest developments in both ML and game technologies, identifying and exploring relevant applications for the company. • Support programming and ML teams throughout development. • Establish and maintain quality guidelines for our ML applications. • Disseminate ML knowledge across the organization. • Improve the function of one’s team, either through individual achievement or through leadership. • Maintain rich, thoughtful, candid communication with peers in order to ensure the very best results. • Gather, acknowledge, and respond to internal feedback, adjusting design and technological choices as necessary.
• Own model traceability • Evaluate and recommend tooling for versioning, metadata, and model registry • Build end-to-end monitoring • Partner with Data Engineering on data quality • Detect issues proactively • Build diagnostic tooling • Own incident response for ML systems • Coordinate on post-deployment metrics


