Fully Remote Salary: $12,500-$17,500 Annually (₹11,09,343 – ₹15,53,081 INR) We’re looking for a detail-oriented Data Entry Clerk to input, update, and maintain accurate information across our databases and systems. The ideal candidate has excellent typing skills, a sharp eye for detail, and the ability to handle large volumes of data with accuracy and efficiency. Key Responsibilities Enter and update data accurately into company databases, spreadsheets, and systems. Review and verify data for completeness, accuracy, and consistency. Maintain and organize digital files and records. Perform regular data quality checks and correct errors as needed. Generate simple reports and summaries from data sets. Follow data confidentiality and security policies. Support other administrative tasks as needed (e.g., scanning, uploading documents). Required Qualifications High school diploma or equivalent (associate’s degree preferred). Proven experience in data entry or administrative support. Excellent typing speed and accuracy (minimum 45 wpm preferred). Proficiency in Microsoft Excel, Google Sheets, and data entry software. Strong attention to detail and organizational skills. Ability to work independently and meet deadlines. Good written and verbal communication skills. Preferred Qualifications Experience with CRM or ERP systems (e.g., Salesforce, HubSpot, Zoho). Familiarity with cloud storage platforms (Google Drive, Dropbox, OneDrive). Previous experience working in a remote environment.
Fully Remote Salary: $17,500-$25,000 Annually (₹15,53,081 – ₹22,18,687 INR) We’re looking for a Front-End Developer who is passionate about building beautiful, responsive, and high-performing web applications. You’ll collaborate closely with designers, back-end developers, and product teams to deliver seamless user experiences using modern web technologies. Key Responsibilities Develop and maintain responsive web interfaces using HTML, CSS, and JavaScript frameworks. Collaborate with designers to turn UI/UX mockups into functional, visually appealing user interfaces. Optimize applications for maximum performance, scalability, and speed. Work closely with back-end developers to integrate APIs and data services. Ensure consistent design and functionality across browsers and devices. Write clean, maintainable, and well-documented code. Troubleshoot and debug issues to improve usability. Stay current with emerging front-end trends and technologies. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). 2+ years of experience in front-end development. Strong proficiency in HTML5, CSS3, JavaScript (ES6+). Experience with React, Vue, or Angular frameworks. Familiarity with RESTful APIs and version control tools like Git. Understanding of responsive and adaptive design principles. Attention to detail and a passion for creating great user experiences. Preferred Qualifications Experience with TypeScript, Next.js, or Tailwind CSS. Knowledge of accessibility standards (WCAG). Familiarity with design tools (Figma, Adobe XD). Experience with CI/CD and modern build tools (Webpack, Vite). Basic understanding of SEO and web performance optimization.
Fully Remote We are looking for a detail-oriented Data Analyst to join our team. You will be responsible for collecting, analyzing, and interpreting data to help guide strategic business decisions. The ideal candidate has strong analytical skills, technical proficiency, and the ability to translate data insights into actionable recommendations. Key Responsibilities Gather, clean, and organize data from multiple internal and external sources. Perform exploratory data analysis (EDA) to identify trends, correlations, and patterns. Develop dashboards, reports, and visualizations to communicate findings to stakeholders. Support business teams with data-driven insights and recommendations. Maintain and improve data quality, accuracy, and consistency. Collaborate with engineers, product managers, and executives to define KPIs and reporting needs. Automate recurring reporting processes using scripts or BI tools. Required Qualifications Bachelor’s degree in Data Analytics, Statistics, Economics, Computer Science, or a related field. Proven experience as a Data Analyst, Business Analyst, or similar role. Proficiency in SQL and data querying. Strong skills in Excel and data visualization tools (Tableau, Power BI, Looker, or similar). Working knowledge of Python or R for data analysis and automation. Understanding of statistics, data cleaning, and business intelligence concepts. Excellent communication skills — able to present complex data in simple terms.
Fully Remote Salary: $16,000-$21,000 Annually (₹14,19,514 – ₹18,63,113 INR) We’re looking for a skilled IT Support Specialist to provide technical assistance and support for computer systems, hardware, and software. The ideal candidate will be the first point of contact for our employees and customers who experience technical issues, ensuring quick and effective resolution to keep operations running smoothly. Key Responsibilities Provide first-level technical support via chat, email, or phone for hardware, software, and network issues. Diagnose and troubleshoot system, network, and application problems. Set up, configure, and maintain workstations, printers, and mobile devices. Manage user accounts, permissions, and access rights in systems like Google Workspace, Microsoft 365, or Active Directory. Install and update software and operating systems. Maintain IT asset inventory and documentation. Escalate complex technical issues to higher-level support or vendors when necessary. Monitor system performance and perform routine maintenance and backups. Assist with onboarding/offboarding employees from an IT perspective. Ensure compliance with security policies and procedures. Required Qualifications Associate’s or Bachelor’s degree in Information Technology, Computer Science, or related field (or equivalent experience). 2+ years of IT support or help desk experience. Strong understanding of Windows, macOS, and/or Linux environments. Familiarity with networking concepts (TCP/IP, DNS, DHCP, VPN). Experience with remote troubleshooting tools and ticketing systems (e.g., Zendesk, Jira Service Management). Excellent communication and problem-solving skills. Ability to work independently and prioritize multiple tasks.
Fully Remote We are seeking a skilled Data Scientist to join our analytics and engineering team. You will be responsible for turning large volumes of raw data into meaningful insights and predictive models that drive key business decisions. The ideal candidate combines strong statistical and analytical expertise with proficiency in programming and machine learning. Key Responsibilities Collect, clean, and analyze structured and unstructured data from multiple sources. Develop predictive models and machine learning algorithms to solve business problems. Conduct exploratory data analysis (EDA) and communicate insights through visualizations and reports. Collaborate with cross-functional teams (engineering, product, marketing) to define data-driven strategies. Implement and monitor data pipelines and production-ready models. Stay updated on emerging tools, frameworks, and best practices in data science. Required Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Proven experience as a Data Scientist, Machine Learning Engineer, or similar role. Strong proficiency in Python (NumPy, pandas, scikit-learn, TensorFlow, or PyTorch). Experience with SQL and database management. Knowledge of data visualization tools (Tableau, Power BI, matplotlib, seaborn, or Plotly). Solid understanding of statistical modeling, hypothesis testing, and experiment design. Experience working with large datasets and cloud platforms (AWS, GCP, or Azure).
Fully Remote We are seeking a skilled Information Technology Engineer to manage, maintain, and improve our company’s IT infrastructure. This role involves supporting hardware, software, networking, and security systems to ensure smooth business operations. The ideal candidate has a strong technical background, troubleshooting expertise, and a proactive approach to systems management. Key Responsibilities Install, configure, and maintain servers, workstations, and network devices. Monitor system performance, identify issues, and implement timely solutions. Manage and secure user accounts, permissions, and access controls. Provide technical support for hardware, software, and networking problems. Administer system backups, disaster recovery, and data protection protocols. Implement and maintain IT policies, documentation, and best practices. Collaborate with vendors and internal teams to deploy new technologies. Support IT infrastructure upgrades, migrations, and automation initiatives. Maintain cybersecurity standards and compliance with company policies. Required Qualifications Bachelor’s degree in Information Technology, Computer Science, or a related field. Proven experience as an IT Engineer, Systems Administrator, or Network Engineer. Strong knowledge of Windows, macOS, and/or Linux operating systems. Proficiency with networking technologies (LAN/WAN, VPNs, firewalls, DNS, DHCP). Experience with cloud services (AWS, Azure, Google Cloud). Familiarity with IT monitoring tools (e.g., Nagios, Zabbix, SolarWinds). Understanding of cybersecurity principles and data protection practices. Excellent problem-solving and communication skills. Preferred Skills: Certifications such as CompTIA A+ / Network+ / Security+, CCNA, or Microsoft Certified: Azure Administrator. Experience with virtualization (VMware, Hyper-V) and containerization (Docker). Knowledge of scripting or automation tools (PowerShell, Bash, Python). Familiarity with ITIL frameworks or ticketing systems (Jira, ServiceNow).
Fully Remote Salary:$20,000-$25,000 Annually (₹17,74,950 – ₹22,18,687INR) We’re seeking a skilled Cloud Engineer to design, implement, and manage our cloud infrastructure. You’ll play a critical role in optimizing system performance, ensuring scalability, and maintaining security across cloud environments like AWS, Azure, or Google Cloud Platform (GCP). Key Responsibilities Design, deploy, and manage cloud-based infrastructure and services (AWS, Azure, or GCP). Implement and maintain CI/CD pipelines for automated deployments. Monitor system performance and ensure high availability and disaster recovery. Manage and secure cloud environments with IAM policies, encryption, and network configurations. Collaborate with development and DevOps teams to optimize cloud-native applications. Automate routine tasks using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. Conduct cost optimization and resource monitoring. Troubleshoot cloud-related issues and provide technical support. Stay updated with emerging cloud technologies and best practices. Required Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience). 2+ years of hands-on experience managing cloud infrastructure. Proficiency in one or more major cloud platforms (AWS, Azure, GCP). Experience with Terraform, Ansible, or CloudFormation. Familiarity with Linux/Unix administration, Docker, and Kubernetes. Understanding of networking (VPC, DNS, VPN, load balancers). Strong troubleshooting and scripting skills (Python, Bash, or PowerShell).
Fully Remote Salary: $20,000-$30,000 Annually (₹17,74,950 – ₹26,62,425 INR) Key Responsibilities Design, develop, and deploy machine learning models and pipelines. Work with large, complex datasets to extract actionable insights. Collaborate with data scientists to transition research models into production-ready systems. Implement feature engineering, model training, testing, and performance optimization. Develop and maintain APIs or services to integrate ML models into applications. Evaluate model performance and conduct A/B testing or model retraining. Utilize cloud services (AWS, GCP, Azure) for scalable ML deployment. Stay current with advancements in ML frameworks and techniques. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field. 2+ years of experience as a Machine Learning Engineer or Data Scientist. Strong programming skills in Python (NumPy, Pandas, Scikit-learn). Experience with ML frameworks such as TensorFlow, PyTorch, or Keras. Solid understanding of data preprocessing, feature engineering, and model evaluation. Familiarity with APIs, RESTful services, and data storage systems. Experience deploying models using Docker, Flask, or FastAPI. Preferred Qualifications Experience with deep learning, natural language processing (NLP), or computer vision. Knowledge of MLOps tools (MLflow, Kubeflow, Airflow). Proficiency in cloud-based ML services (AWS SageMaker, Vertex AI, Azure ML). Familiarity with big data tools (Spark, Hadoop, Kafka). Advanced degree (M.S. or Ph.D.) preferred but not required.