Top Remote Entry Level Artificial Intelligence Jobs

Reviews, validates, and curates Hindi written and audio content according to SOPs, checklists, and client guidelines. The role checks content and metadata, applies approved corrections, documents defects in internal tools, escalates complex issues, manages queues to meet throughput and SLA targets, and follows security requirements. It also involves repetitive high-volume work, team meetings, calibration sessions, training, and incorporating feedback to improve accuracy.

Create and schedule content across social platforms, translate technical ideas into engaging posts, support short-form video and visual storytelling, maintain brand voice, research industry topics, track engagement, and collaborate with leadership on content priorities.

Develop and execute sales strategies for consulting services, identify and qualify target accounts, manage opportunities from lead through close, and grow relationships with direct clients and technology partners. The role involves pipeline management, prospecting, targeted messaging, partner collaboration, market-facing activities, and representing Entrada at client meetings and industry events. Candidates should build credibility in data and analytics and use HubSpot, LinkedIn, AI, and other prospecting tools.

Build and lead revenue marketing programs that generate predictable enterprise and self-serve pipeline. Responsibilities include pipeline planning, event strategy and execution, demand generation campaigns, nurture programs, account-based marketing, paid media, budget management, agency coordination, attribution, and close collaboration with Sales and RevOps. The role is hands-on, requiring rapid program launches, performance measurement, and optimization of marketing investments.

Own and improve the legal function’s operations, technology, workflows, and automation. Manage Ironclad CLM workflows, matter management, e-billing, AI-assisted legal processes, outside counsel relationships, reporting, and performance metrics. Partner with Finance, IT, and business teams to scale legal processes, implement new tools, and improve operational efficiency across a rapidly growing global organization.

Develop, fine-tune, deploy, monitor, and optimize NLP and large language models using transformer architectures. Build production-ready model applications and REST APIs, collaborate with product and data science teams, and improve reliability and scalability. The role involves applying frameworks such as PyTorch or TensorFlow, exploring agentic AI technologies, and deploying solutions with modern cloud and containerization tools.

Lead Attentive’s cloud platform organization, overseeing AWS infrastructure, Snowflake and centralized data platforms, database infrastructure, DevOps, and cloud cost optimization. Set technical strategy, improve reliability and operational standards, lead migrations, build self-service developer workflows, and develop engineering managers and technical leaders. Partner across Engineering, Product, Finance, and Developer Experience to improve infrastructure efficiency, scalability, security, and delivery speed.

Build experimental applications and interactive tools for configuring experiments, monitoring execution, visualizing results, and capturing metadata. Integrate instrument APIs with SDKs, data services, backend systems, and automation workflows. Implement testing, logging, failure recovery, CI, packaging, and deployment improvements. Diagnose issues across application, performance, concurrency, native-code, and hardware layers while collaborating directly with scientists and engineers to deliver reliable software.

Build Apollo's North American partner program from the ground up by defining strategy, recruiting AI agencies and integration partners, creating onboarding and enablement programs, and executing co-sell motions. The role owns partner acquisition, health, adoption, and revenue metrics while aligning Sales, Engineering, Product, Marketing, and Support. It requires enterprise sales understanding, cross-functional influence, strategic autonomy, and experience developing partner programs in ambiguous environments.

Investigate and resolve complex enterprise customer application issues through log, data, and product analysis. Own support cases, coordinate with Engineering, manage releases and deployments, document solutions, support customer milestones, and improve product quality and support processes. Build customer relationships, create self-service content, and use automation and AI to improve workflows. The role requires SQL, scripting or programming knowledge, and strong independent troubleshooting and communication skills.