Review, evaluate, and annotate AI-generated content across various formats including text, images, audio, and video. Perform quality checks and provide feedback to improve datasets and annotation guidelines for generative AI models.
Remote Artificial Intelligence Jobs (9,413)
Search = ai
Job category = Software Development
Business Development Representative Zentric AI | Remote | United States
Zentric AI
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Part Time
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2 Weeks Ago
Zentric AI
Identify and develop new business opportunities by prospecting and qualifying potential clients in service-based industries. Manage the sales pipeline from initial outreach and scheduling product demos to contract execution and closing.
Design and develop scalable backend services and APIs in Go to power an AI platform. Build and orchestrate AI agents and agentic workflows while collaborating with product owners to deliver features from concept to production.
Enterprise Sales/Growth Manager – Industrial AI (RFQ / Tender Solutions) - Munich, Germany
DRIMCO.ai
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Full Time
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2 Weeks Ago
DRIMCO.ai
Identify and convert companies with RFQ processes similar to existing customers to drive repeatable growth. Manage the end-to-end sales cycle from outbound outreach and discovery to deal execution in collaboration with Solutions Engineers.
Own the automation direction within the SEO content department by developing and implementing automated content processes. This includes testing new AI tools, managing service limits, and documenting processes for the team.
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Design and implement an AI-driven automation system for media planning to increase company revenue and scale sales. Act as a strategic partner to C-level executives and a bridge between Sales, IT/Product, and Creative teams.
Develop and publish thought-leadership content regarding AI agents and process automation across YouTube, Instagram, and LinkedIn. Manage and grow the AI community while further developing AI agents for social media content.
Own the positioning, messaging, and go-to-market execution for the Data & AI business unit. Translate technical data and AI propositions into outcome-led narratives to drive enterprise deals and revenue.
Applied Data Scientist, Finance AI Evaluation & Datasets
Innodata Inc.
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Full Time
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2 Weeks Ago
Innodata Inc.
Design and validate high-quality datasets used to train and evaluate financial-domain LLMs and multimodal AI agents. Translate complex financial goals into concrete dataset specifications, rubrics, and statistical evidence to support model risk management.
Applied Data Scientist, Health AI Evaluation & Datasets
Innodata Inc.
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Full Time
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2 Weeks Ago
Innodata Inc.
Design and validate high-quality datasets and evaluation frameworks for health-domain AI models to ensure clinical accuracy and safety. Collaborate with cross-functional teams to translate clinical goals into measurable dataset specifications and statistical checks.
Develop and optimize the backend architecture for a multi-brain AI trading algorithm and integrate blockchain technologies for secure operations. Build and maintain APIs, cloud infrastructure, and machine learning workflows to support a high-performance trading platform.
Define and execute the company's AI-native vision and roadmap while leading the Data Science and ML Engineering organizations. Manage AI workstreams, governance, and the integration of AI tools to drive customer value and internal productivity.
The Senior Product Manager will lead the strategic ownership and end-to-end lifecycle of Vena Copilot, focusing on building and launching new AI agents. They will collaborate with cross-functional teams to drive product adoption and align the AI roadmap with corporate strategy.
Develop and productionize cutting-edge GenAI solutions to solve customer problems and serve as a trusted technical advisor. Collaborate cross-functionally with product and engineering teams to influence the product roadmap and present at industry conferences.
Senior Solutions Engineer, Germany, AI Security
Check Point Software Technologies
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Full Time
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2 Weeks Ago
Check Point Software Technologies
Act as the primary technical point of contact for prospects to design AI security solutions and architect implementations using the AI Defense Plane. Collaborate with Product and Engineering teams to translate customer feedback into roadmap improvements and scalable playbooks.
Build AI-powered internal tools and workflows to help health coaches scale their impact through risk ranking and context briefings. Develop the full stack of AI integrations using LLMs to turn unstructured conversational data into actionable signals.
Build AI-powered internal tools and workflows to help health coaches scale their impact and identify at-risk members. Develop risk ranking systems and context briefings using LLMs and unstructured conversational data.
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AI Automations & Data Specialist - Fully Remote, Latin America
System Six
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Full Time
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2 Weeks Ago
System Six
Own and maintain complex Power BI dashboards, data pipelines, and financial data processes. Build and document AI-driven automations across the company to remove friction and improve operational efficiency.
Outbound Lead Generation Specialist – Tech & AI (Job ID: BALRIC1RH)
Inside Out Hiring
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Full Time
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2 Weeks Ago
Inside Out Hiring
The role focuses on identifying and researching B2B clients to generate qualified leads and schedule appointments for AI and software solutions. It involves conducting discovery calls, handling objections, and managing the sales pipeline within a CRM.
Serve as the enterprise AI Security Architect to define and execute the AI security strategy and governance framework. Design secure reference architectures for Generative AI and LLMs while conducting threat modeling and risk assessments.
The Compliance Director embeds regulatory logic into the RCM AI Platform to ensure AI-generated outputs are accurate and legally defensible. This involves engineering guardrails, reviewing technical requirements, and aligning risk tolerance between Legal and Product teams.
Design and build the AWS-native data foundation for enterprise AI applications, focusing on knowledge graphs and semantic layers. Lead the engineering of retrieval corpora and pipelines to improve grounding quality and AI reasoning.
Own the strategy and execution for AI, data, and integration positioning to establish the company as governed decision infrastructure for the agentic enterprise. Map the AI market ecosystem and translate signals into actionable product requirements and go-to-market roadmaps.
Product Owner — AI Reliability Engineering
General Dynamics Mission Systems, Inc
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Full Time
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2 Weeks Ago
General Dynamics Mission Systems, Inc
The Product Owner is responsible for defining, prioritizing, and maintaining the work backlog for AI-native application development. They act as the final authority on whether delivered features meet business needs and manage alignment across executive leadership.
Own the AI Edge content engine by producing long-form blogs, thought leadership articles, and evergreen video content. Manage the bi-weekly newsletter and coordinate with creators to position the brand as an authority in the AI and tech ecosystem.
Lead the design and implementation of a cloud-native AI/ML engineering platform supporting both GenAI and traditional AI/ML applications. Drive technical vision, architecture, and engineering best practices while partnering across the organization to meet business needs.
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Design, develop, and deploy production-ready AI agents to enhance enterprise productivity and streamline critical business workflows. Collaborate with cross-functional teams to prototype, iterate, and optimize AI solutions for scalability and cost-effectiveness.
Perform and manage financial statement audit procedures while collaborating with product teams to build and refine an AI-powered audit platform. The role involves reviewing AI outputs to identify gaps and translating audit expertise into improved AI workflows and product decisions.
Design and develop scalable backend services and APIs to power GitHub Copilot and its integrations. Provide technical leadership and mentorship while ensuring system reliability and performance at planetary scale.
Lead the strategic development and deployment of agentic AI solutions to improve internal efficiencies within the Revenue Organization. This includes designing AI-driven tools to automate processes across Marketing, Pricing, Promotions, and Merchandising.
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