Top Tech Jobs & Startup Jobs

Evaluates AI-generated FP&A and corporate finance documents, spreadsheets, and presentations for accuracy, rigor, factual correctness, visual quality, and domain expertise. Provides structured written feedback using quality rubrics. This is a fully remote, flexible independent contractor engagement requiring at least five years of relevant experience and strong proficiency in Microsoft Office and Google Workspace.

Evaluate AI-generated legal and compliance work products, including documents, spreadsheets, and slide decks, against domain-specific quality rubrics. Assess accuracy, rigor, factual correctness, aesthetics, and presentation quality, then provide clear, structured written feedback. This is a fully remote, hourly independent-contractor engagement with flexible scheduling and weekly payments.

Acquire enterprise and mid-market clients for CPaaS and Conversational AI solutions, including WhatsApp, SMS, Voice, RCS, and bot automation. Manage the full sales lifecycle from prospecting through onboarding and first billing, build CXO relationships, lead pilots and PoCs, close large deals, meet revenue targets, manage CRM forecasting and collections, and drive cross-sell and upsell growth.

Build and operate full-stack, workflow-driven products for planners and supply chain users. Responsibilities include developing React and TypeScript interfaces, backend services, APIs, databases, real-time and asynchronous systems, approval workflows, and scalable production applications. The role requires end-to-end feature ownership, performance optimization, observability, testing, architectural decision-making, collaboration across teams, and mentoring engineers at senior and staff levels.

Analyzes large datasets to solve business problems, build data science and machine learning models, automate dashboards, and generate actionable insights. The role involves SQL and NoSQL data work, experimentation, statistical analysis, visualization, root-cause analysis, and resolving data issues with engineering teams. The analyst collaborates with Product, Marketing, Operations, and Customer Experience stakeholders and presents findings to support executive strategy.

Evaluate datasets and AI-generated outputs for accuracy, relevance, consistency, and quality. Provide written feedback to improve AI system performance, follow project guidelines, support quality assurance, and communicate findings clearly. The role requires strong critical thinking, analytical reasoning, attention to detail, organization, and independent work in a remote environment. Prior AI experience is not required; data annotation, content evaluation, quality assurance, research, and AI project experience are preferred.

Analyze and annotate datasets for AI training, evaluate and refine model outputs, provide clear written feedback, solve cross-domain problems, follow quality guidelines, and communicate findings effectively in a remote contractor environment.

Drive new client acquisition and revenue growth across industrial and engineered product segments. Responsibilities include prospecting, cold calling, client meetings, product presentations, site visits, proposal preparation, negotiations, lead and CRM management, order closure, account expansion, and sales forecasting. The role requires regular travel across India, coordination with technical and operations teams, and achievement of measurable sales and revenue targets.

Build and own end-to-end product features across Django, DRF, React, Next.js, and PostgreSQL. Responsibilities include database design, APIs, responsive interfaces, third-party integrations, asynchronous workflows, dashboards, security, testing, and production reliability. The engineer will collaborate with architects and customers, mentor junior developers, review AI-generated code, contribute to technical standards, and deliver scalable 0-to-1 product solutions in a fast-paced environment.

Defines long-term architecture and technical direction for high-performance distributed database systems. Serves as a technical authority for scalability, reliability, performance, storage, networking, low-level I/O, and hardware challenges. Leads cross-team initiatives, establishes engineering standards, mentors senior engineers, and develops benchmarking strategies. Applies AI/ML to automated testing and performance analysis while supporting customer engagements and technical roadmaps.