Job Title: Social Media Content Creator Location: Remote (India-based preferred) Commitment: ~10 hours per week About the Role We are looking for a creative and driven content creator to help us grow our social media presence, with a focus on Instagram and Facebook. You will be responsible for producing engaging, educational content and driving follower growth, especially within the US market. Responsibilities Create and publish 3–5 posts/reels per week, optimized for Instagram and Facebook. Repurpose and repost content across other platforms. Develop content from existing educational video materials on rotitales.com and other company material. Own the outcome of growing followers, with a target of 10,000+ (at least 50% based in the US). Deliver weekly reports on content created, posted, performance analytics, and key learnings. Continuously improve content strategy based on performance insights. Requirements Strong skills in short-form content creation (video editing, reels, visuals, captions). Understanding of Instagram and Facebook algorithms, trends, and best practices. Experience with social media growth strategies and analytics tools. Creativity and ability to adapt educational material into engaging formats. Self-motivated, outcome-driven, and comfortable working independently. Compensation This is a part-time contract role. Compensation will be aligned with content creator pay in India.
About the Company Our customers discover the future of problem-solving with our AI Solutions. We offer a suite of innovative artificial intelligence solutions designed to revolutionize how businesses tackle challenges. Our tailored AI applications, powered by state- of-the-art algorithms, bring unparalleled efficiency and insight to your operations. As a partner to universities, this company specializes in developing and managing workforce-focused online education programs that are both accessible and affordable. We do the following: University Partnerships: Collaborates with over 100 public and private universities to launch and manage online degree programs. Student Support: Offers services like marketing, recruitment, retention, and performance monitoring. Technology & ROI: Implements tech solutions and conducts research on student return on investment (ROI), aiming to make education more accessible and impactful. Impact & Reach 25,000+ courses launched 22,000+ faculty supported Average student payback time: 1.6 years Active in 40 U.S. states and 5 countries Job Requirements Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of experience in software/data engineering, including at least 2 years working with Databricks and Apache Spark Databricks Data Engineer 1Strong proficiency in Python, SQL, and PySpark Deep understanding of AWS and Azure Cloud services Experience with Databricks Data Lakehouse, Databricks Workflows, and Databricks SQL Solid grasp of data Lakehouse and warehousing architecture Prior experience supporting AI/ML workflows, including training data pipelines and model deployment support Familiarity with infrastructure-as-code tools like Terraform or CloudFormation Strong analytical and troubleshooting skills in a fast-paced, agile environment Excellent collaboration skills for interfacing with both technical and non- technical customer stakeholders Clear communication skills with strong documentation habits Comfortable leading discussions, offering strategic input, and mentoring others Job Responsibilities The ideal candidate will have a strong background in building scalable data pipelines, optimizing big data workflows, and integrating Databricks with cloud services. This role will play a pivotal part in enabling the customer's data engineering and analytics initiatives—especially those tied to AI-driven solutions and projects—by implementing cloud-native architectures that fuel innovation and sustainability. Partner directly with the customer's data engineering team to design and deliver scalable, cloud-based data solutions. Execute complex ad-hoc queries using Databricks SQL to explore large lakehouse datasets and uncover actionable insights. Leverage Databricks notebooks to develop robust data transformation workflows using PySpark and SQL. Databricks Data Engineer 2Design, develop, and maintain scalable data pipelines using Apache Spark on Databricks. Build ETL/ELT workflows with AWS and Azure Services. Optimize Spark jobs for both performance and cost within the customer's cloud infrastructure. Collaborate with data scientists, ML engineers, and business analysts to support AI and machine learning use cases, including data preparation, feature engineering, and model operationalization. Contribute to the development of AI-powered solutions that improve operational efficiency, route optimization, and predictive maintenance in the waste management domain. Implement CI/CD pipelines for Databricks jobs using GitHub Actions, Azure DevOps, or Jenkins. Ensure data quality, lineage, and compliance through tools like Unity Catalog, Delta Lake, and AWS Lake Formation. Troubleshoot and maintain production data pipelines. Provide mentorship and share best practices with both internal and customer teams