Role Description Stellar Virtual seeks a highly motivated and certified Secondary English Teacher to join our team. This remote position will be responsible for delivering engaging and effective English Language Arts instruction to students in grades 9-12 through our virtual learning platform. The ideal candidate will possess a strong understanding of the English language, literature, composition, and communication skills, excellent communication and technology skills, and a passion for fostering a positive and supportive online learning environment. Responsibilities include curriculum implementation, assessment, individualized support, and collaboration to ensure student success. - Deliver engaging and interactive live virtual lessons aligned with the Texas State Standards for English Language Arts for grades 9-12. - Utilize a variety of online teaching methodologies, resources, and technologies to cater to diverse learning styles and needs. - Develop and deliver asynchronous learning activities, including interactive assignments, projects, discussions, and writing prompts. - Provide clear and timely feedback on student work to promote understanding and growth in reading, writing, speaking, and listening skills. - Facilitate small group instruction and provide individualized support to students as needed. - Maintain accurate and up-to-date records of student attendance, grades, and progress. - Implement the Stellar Virtual English Language Arts curriculum effectively and adapt instruction to meet individual student needs. - Develop and administer formative and summative assessments to monitor student learning and inform instruction in areas such as reading comprehension, literary analysis, grammar, mechanics, and composition. - Analyze student data to identify learning gaps and adjust teaching strategies accordingly. - Collaborate with curriculum specialists and other teachers to enhance the English Language Arts curriculum. - Support on-site testing events periodically throughout the year (required). - Participate in virtual professional development and collaborate with colleagues on online teaching best practices. - Work collaboratively with student support services (e.g., counselors, special education) to address student needs. - Attend virtual staff meetings and contribute to the overall success of Stellar Virtual. Qualifications - Minimum of two (2) years of successful teaching experience, preferably in a secondary setting. - Experience teaching a range of secondary English Language Arts courses (e.g., English 9-12, Literature, Composition, Grammar). - Demonstrated experience in utilizing online learning platforms and educational technology tools. - Excellent written and verbal communication skills. - Strong organizational and time management skills. - Ability to work independently and collaboratively in a virtual environment. - Passion for working with students and fostering their academic growth in language and literacy. - Residency in the state of Texas is required. Requirements - A bachelor's degree in English, English Education, Literature, or a related field. - A valid teaching license in English, grades 6-12 or 7-12. In addition, candidates must possess an endorsement in English as a Second Language. Benefits - Competitive vacation and paid time off plans. - Comprehensive medical (HMO, HDHP, and PPO), dental, and vision plans with varying coverage for employees and their families, with options available in all states, including a high-deductible health plan (HDHP) option. - 401(k) retirement plan (pre- and post-tax options) with matching contribution up to 3% after one year of employment. - Additional supplemental disability, life, critical illness, hospital indemnity, accident, legal aid, and ID theft protection plans. - Flexible Spending Account (FSA) or Health Savings Account (HSA). - Two paid closure weeks each year (weeks of July 4 and December 25). - 10 Company-paid Holidays.

• Design and build the infrastructure layer powering AI agent systems in production • Develop high-performance Rust services that handle model inference, orchestration, and execution • Architect scalable systems capable of supporting millions of users and high request throughput • Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring • Define guardrails, observability, and failure handling for agent-driven workflows • Optimize latency, throughput, and cost across inference and orchestration layers • Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems • Contribute to foundational infrastructure decisions in a high-scale, high-impact environment

We are seeking a highly skilled AI Prompt Engineer to join our innovative team at D50 AI. You will be responsible for designing, testing, and refining prompts for various AI models to achieve optimal and desired outcomes. This role requires a deep understanding of natural language processing, machine learning principles, and creative problem-solving.We are seeking a highly skilled AI Prompt Engineer to join our innovative team at D50 AI. You will be responsible for designing, testing, and refining prompts for various AI models to achieve optimal and desired outcomes. This role requires a deep understanding of natural language processing, machine learning principles, and creative problem-solving.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational chemistry problems that simulate real chemistry research workflows; - Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling; - Base problems on real research challenges or practical applications from chemistry practice; - Verify solutions using Python with standard computational chemistry approaches; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Chemistry or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical methods in chemistry; - Familiarity with computational chemistry concepts and methods; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $10 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.