Artificial Intelligence

• Perform linguistic project tasks including categorization, annotation, correction, transcription, evaluation, conversational interactions, voice recording, content creation, and localization
• Validate audio, video, images, sentences, or words
• Complete tasks remotely through an online platform available 24/7
• Complete required qualification tests after submitting an application
• Provide documentation or information reasonably requested to verify identity and credentials

Linguistic Projects, Dutch

• Own AI implementation for transaction monitoring alert resolution from identifying manual steps through production deployment
• Understand alert resolution from pickup through false positive, true positive or offboarding
• Build AI-driven investigations of customers, suspicious transactions, behavioural patterns and network patterns
• Build and iterate AI agents with boundaries, escalation logic and audit trails
• Redesign alert resolution around automation, validation and human decision-making
• Define and document the AI/AML boundary for risk management, audit and regulators
• Support and upskill analysts transitioning to model and output validation
• Analyse alert and customer data to identify inefficiencies, false-positive drivers and automation opportunities
• Measure cycle time, alert backlog, AI resolution share, decision quality, analyst capacity and customer impact
• Partner with AI, Data, Engineering, Product and risk management stakeholders
• Maintain customer-focused processes that improve efficiency without degrading customer experience
• Own procedures, decision logic, model rationale and controls to audit standard

AI Process Owner – Transaction Monitoring, Customer Lifecycle

• Own AI implementation for transaction monitoring alert resolution from identifying high-value manual steps through production deployment
• Understand the alert resolution process from pickup through false positive, true positive or offboarding
• Build AI-driven investigations of customers, suspicious transactions, behavioural patterns and network patterns
• Build and iterate AI agents that replace manual analyst work with boundaries, escalation logic and audit trails
• Redesign alert resolution around automation, validation and human decision-making
• Define and document the AI/AML boundary for risk management, audit and regulators
• Support and upskill analysts during the transition to model and output validation
• Analyse alert and customer data to identify inefficiencies, false-positive drivers and automation opportunities
• Measure process changes and their impact
• Partner with AI, Data, Engineering, Product and risk-management stakeholders
• Ensure efficiency improvements do not degrade customer experience
• Own audit-standard procedures, decision logic, model rationale and controls
• Drive reductions in alert handling time and backlog
• Increase AI-resolved or pre-processed alerts while maintaining or improving quality
• Track QA, validation sampling, audit outcomes, analyst capacity and customer-facing impact

• Own AI implementation for transaction monitoring alert resolution from identifying high-value manual steps through production deployment
• Understand the alert resolution process from pickup to false positive, true positive, or offboarding
• Build AI-driven investigation capabilities for customers, suspicious transactions, and behavioural and network patterns
• Build and iterate AI agents that replace manual analyst work with clear boundaries, escalation logic, and audit trails
• Redesign alert resolution around automation, validation, human review, and quality evidence
• Define and document the AI/AML boundary for risk management, audit, and regulators
• Support and upskill analysts transitioning to model and output validation
• Analyse alert and customer data to identify inefficiencies, false-positive drivers, and automation opportunities
• Partner with AI, Data, Engineering, Product, and risk management teams to translate operational and AML needs into technical requirements
• Improve customer experience by reducing unnecessary touchpoints and resolution delays
• Own procedures, decision logic, model rationale, and controls to audit standards
• Track cycle time, alert backlog, AI resolution share, decision quality, analyst capacity, and customer-facing impact

• Generate high volumes of photorealistic images and videos using AI tools
• Manually refine and retouch images to a level indistinguishable from real photography
• Build simple automations and scripts for batch image generation and processing
• Collaborate with the creative team to develop visual concepts aligned with brand and campaign goals
• Maintain consistent visual quality and style across all assets
• Stay up to date with AI image generation and editing technologies
• Develop and maintain internal guidelines for image realism and editing best practices

Generative AI Designer

• Design and build advanced image generation pipelines, video generation workflows, AI editing pipelines, multi-model orchestration, and automation flows
• Create showcase demos for multi-model AI pipelines, creative automation, AI content generation, AI agents interacting with workflows, and dynamic personalization pipelines
• Build demos for investor presentations, enterprise clients, marketing materials, and tutorials
• Test and integrate image, video, and audio generation models, LLM agents, and multimodal systems
• Experiment with combining AI models in production workflows
• Help design widgets that translate complex workflows into simple widgets for non-technical users
• Collaborate with AI engineers, UX designers, and product leadership to improve the workflow-building experience

AI Video Creator

• Audit the existing Twilio ↔ Realtime-AI call bridge, including media streams, ConversationRelay, and two-way contracts with the AWS-hosted platform
• Review inbound invokes, outbound callbacks, retries, and reconciliation
• Assess production-readiness of the voice service, including health checks, capacity limits, alerting, and incident response
• Identify production-readiness gaps
• Review AI/session logic driving calls, related routes, background jobs, and schema
• Deliver a findings report and prioritized implementation roadmap
• Provide part-time advisory support through implementation
• Review architectural and technical decisions
• Guide webhook-contract and telephony-integration design
• Consult on production operability practices

Voice AI Consultant

• Design and test multi-turn, state-aware conversational systems using LLM reasoning loops (e.g., ReAct, Plan-and-Solve) and multi-agent orchestration frameworks (LangGraph, AutoGen, or custom state machines)
• Adapt new frameworks and recent advances in generative and agentic AI
• Promote best practices in AI/ML and mentor junior team members
• Lead functional teams and initiatives to accelerate adoption of Conversational AI
• Leverage Python, MLflow, Azure stack (Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end AI solutions
• Build, benchmark, and maintain AI/ML models
• Stay in close contact with customers to evaluate their needs and recommend solutions that increase customer satisfaction and drive business value
• Monitor technology trends in AI and apply this knowledge to EcoVadis challenges
• Deliver solutions for EcoVadis’s product portfolio and enhance operational excellence

Artificial Intelligence jobs in Poland

Linguistic Projects, Dutch

AI Process Owner – Transaction Monitoring, Customer Lifecycle

AI Process Owner – Transaction Monitoring, Customer Lifecycle

AI Process Owner – Transaction Monitoring, Customer Lifecycle

Generative AI Designer

AI Video Creator

Voice AI Consultant

Staff AI/ML Scientist, Conversational AI