Remote remote Jobs

(LEVEL 1: 4-hour training course) by 30 April 2026 Create training LEVEL 2 Level 2 training content, including presentation slides, tools, case studies and exercises, is developed and finalized. (LEVEL 2: 8-hour training course) by 31 May 2026 Deliver 1x pilot training The LEVEL 1 training is piloted, participants feedback is collected and analyzed, and optimized training materials are finalized and submitted.

Training Development: The consultant will develop the Consumer Facing Partnerships training modules and will deliver the training to frontline fundraisers across UNICEF’s National Committees. Consultant's Workplace And Official Travel The Consultant will be remote/home-based.

Skills & Experience: Strong background in Python software engineering. Experience with network automation and telecoms - desirable.

QA Software Test Automation Engineer (Java) – Remote The role: As an Automation QA engineer, you will join an amazing team who are committed to improving product quality. Working within the existing testing environment, you will have the chance to create testing suites from scratch.

Architect and integrate cloud-native and hybrid applications, utilizing Azure Service Bus, Azure Data Factory, and Azure Event Grid. Strong knowledge of Azure Service Bus, Azure Data Factory, Azure Event Grid, PostgreSQL, and Azure SQL.

Position Summary The Strategic Analytics organization at Arch is a growing team driving automation, data, and AI transformation across the company. As a Manager of Implementation Engineering, you will lead a team of offshore developers responsible for delivering automation and AI implementation projects across Archs business units.

About Abbott Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. The position provides ongoing proactive product support for assigned accounts.

Collaborate with PMG stakeholders across markets to analyze workflows, identify bottlenecks, and build scalable automation solutions. Maintain clear documentation and reusable components to accelerate automation adoption across teams.

In this role, you will analyze the performance of AI agents across finance-sector tasks to uncover root causes of failure and drive improvements in design, evaluation, and benchmarking frameworks. Key Responsibilities Conduct statistical failure analysis to identify recurring patterns in AI agent performance across prompts, rubrics, templates, and file types Investigate root causes behind performance issues in task execution, framework design, or data complexity Perform multi-dimensional analysis across finance sub-domains, task categories, and input types Develop dashboards and reports highlighting performance trends, failure clusters, and improvement opportunities Recommend enhancements to task design, quality rubrics, and evaluation metrics based on data findings Required Qualifications Strong understanding of statistical analysis, hypothesis testing, and pattern recognition Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analytics Hands-on experience in exploratory data analysis (EDA) and turning data into actionable insights Familiarity with AI/ML evaluation techniques and quality assessment metrics Proficiency in Excel, SQL, and visualization tools such as Tableau or Looker Preferred Qualifications Prior experience in AI/ML model evaluation, data labeling quality, or automation analysis Knowledge of finance-sector concepts or willingness to learn finance domain structures Experience with multidimensional failure analysis or benchmarking studies Understanding of large-scale evaluation frameworks or test dataset design Equal Opportunity Statement We welcome applicants from all backgrounds.

We are currently looking for an AI/ML Specialist Solutions Architect in Europe. As an AI/ML Specialist Solutions Architect, you will play a key role in helping enterprise clients design and implement large-scale AI solutions that leverage advanced cloud infrastructure.

Our mission goes beyond developing AI tools; we're building AI-driven systems that produce dynamic, tailored learning materials. About LearnWith.AI LearnWith.AI is an edtech startup that leverages AI and subject matter experts to cultivate a new way of learning.

Our Team AI Engineering is a new team being formed here at VistaPrint to help drive enablement and adoption of Generative AI capabilities as well as build foundational primitives to help unlock productivity across the entire business. What You Will Do Work in a newly formed team of AI Engineers driving strategic design, adoption and implementation of large scale GenAI initiatives Build and scale reusable platform components like AI Gateways, python and typescript SDKs, MCP capabilities, RAG pipelines, LLM frameworks, vector databases and other primitives enabling teams to build GenAI applications at scale with great tooling Support and work on engineering wide standards for GenAI, and partner with existing Engineering teams to help drive adoption Build and launch reusable automation workflow capabilities company wide to drive transformation of GenAI adoption across all business functions Your Qualifications At VistaPrint, we are striving to hire individuals that add new ideas and perspectives to our teams and enhance our culture.