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Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re looking for a
 
 Full Stack AI Software Engineer with strong AI/ML experience
 
 to join our AI Factory team.
 
 
 You&rsquo;ll work on designing, developing, and deploying scalable, production-grade applications that integrate
 
 Large Language Models
 
 ,
 
 Generative AI
 
 , and
 
 data pipelines
 
 .
 
 
 You will collaborate closely with data scientists, AI researchers, and business stakeholders to turn ideas into impactful AI-powered software products.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop end-to-end AI-powered applications and internal tools for business teams.
 </li>
 <li>
 Build and maintain full-stack applications using React (frontend) and Python/FastAPI (backend).
 </li>
 <li>
 Implement and optimize LLM-based systems, including RAG pipelines, prompt engineering, and model integration.
 </li>
 <li>
 Collaborate with AI/ML engineers to productionize models and integrate them into user-facing products.
 </li>
 <li>
 Deploy, monitor, and maintain applications using Docker and Kubernetes.
 </li>
 <li>
 Contribute to the AI Factory platform by developing reusable components, APIs, and SDKs.
 </li>
 <li>
 Ensure software quality through testing, CI/CD pipelines, and DevOps best practices.
 
 
 </li>
 </ul>
 Stay updated on the latest trends in
 
 AI/ML
 
 ,
 
 Generative AI
 
 , and
 
 LLM frameworks
 
 (LangChain, LlamaIndex, etc.)
 
 
 
 About You
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 7+ years of professional experience as a Software Engineer.
 </li>
 <li>
 Strong leadership skills
 </li>
 <li>
 Strong full-stack development skills:
 </li>
 <li>
 Proven experience building AI-driven applications, especially with LLMs, Generative AI, or RAG systems.
 </li>
 <li>
 Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of RESTful APIs, microservices, and system design.
 </li>
 <li>
 Strong problem-solving skills, with a collaborative and pragmatic mindset.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar LLM frameworks.
 </li>
 <li>
 Knowledge of vector databases (e.g., PostgreSql, Pinecone, Weaviate, FAISS).
 </li>
 <li>
 Exposure to MLOps and AI model lifecycle management.
 </li>
 <li>
 Familiarity with prompt engineering and AI agent frameworks.
 </li>
 <li>
 Experience building internal tools or platforms for cross-functional teams.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Senior Full Stack AI Software Engineer

BlackStone eIT

<div>
 BlackStone eIT is looking for a skilled AI Engineer to join our innovative team. As an AI Engineer, you will design, develop, and implement artificial intelligence solutions that address complex business challenges. You will work closely with data scientists, engineers, and stakeholders to build scalable AI models and integrate them into product offerings.
 
 
 This position offers a great opportunity to contribute to cutting-edge AI projects and help drive the adoption of AI technologies within our organization. You will be involved in all stages of AI project development, from data collection and preprocessing to model training, deployment, and monitoring.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of experience in AI or machine learning engineering roles
 </li>
 <li>
 Proficiency in programming languages such as Python and experience with AI/ML libraries like TensorFlow, PyTorch, or Scikit-learn
 </li>
 <li>
 Knowledge of AI model deployment and monitoring best practices
 </li>
 <li>
 Understanding of data processing, feature engineering, and model evaluation techniques
 </li>
 <li>
 Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
 </li>
 <li>
 Strong problem-solving abilities and excellent communication skills
 </li>
 <li>
 Experience with cloud computing platforms (AWS, Azure, or GCP) is preferred
 </li>
 <li>
 Familiarity with containerization tools such as Docker is a plus
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 💵 Competitive salary paid in USD
 </li>
 <li>
 🏡 Fully remote - work from anywhere
 </li>
 <li>
 🌎 Work with a diverse international team
 </li>
 <li>
 🚀 Exciting projects and a supportive engineering culture
 </li>
 <li>
 📈 Opportunities to grow technically and professionally
 </li>
 </ul>
</div>

AI Engineer

Valeo

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 Responsibilities Cross-Disciplinary Automation
 
 ~
 
 Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
 
 
 Physics-Informed Modeling~ Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
 
 AI-Enhanced System Engineering
 
 ~ Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
 
 Predictive Project Management
 
 ~ Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
 
 Standards &amp; Compliance~
 
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
 
 Toolchain Integration
 
 ~ Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 
 
 Key competencies
 
 Technical Skills
 
 
 
 AI and Machine Learning
 
 
 <ul>
 <li>
 Generative AI &amp; LLMs
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Computer Vision
 
 
 </li>
 </ul>
 Data Engineering and Management
 
 
 <ul>
 <li>
 Data Pipeline Construction~ Automating the flow of data into AI models.
 </li>
 <li>
 Data Quality Assurance~ Cleaning and labeling datasets to ensure the AI isn't learning from "noise."
 
 
 </li>
 </ul>
 
 Process Automation &amp; Integration (MLOps)
 
 
 
 <ul>
 <li>
 Workflow Orchestration~ Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
 </li>
 <li>
 Deployment~ Ensuring the AI tools are accessible via user-friendly interfaces.
 
 
 </li>
 </ul>
 Programming &amp; Scripting~
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM~ ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling~
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Physics-Informed Machine Learning (PIML)
 
 
 Predictive Project Analytics
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience 2 to 3 years experience in AI &amp; tools development
 
 
 
 Position~
 
 
 
 AI4all, Engineering Disciplines
 
 
 
 D&eacute;partement~
 
 
 
 GTSC Software
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-04-07
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

AI & Automation Engineer, LIGHT

Intellias

<div>
 
 
 Principal AI/ML Architect &amp; Applied AI Lead
 
 
 
 Over 20 years of market experience, Intellias brings together technologists, creators, and innovators across Europe, North and Latin America, and the Middle East. Join our international team and help solve the advanced technology challenges of tomorrow.
 
 
 
 
 
 
 Project Overview
 
 
 
 We are seeking a highly experienced and hands-on
 
 Principal AI/ML Architect &amp; Applied AI Lead
 
 to drive the design, development, and operationalization of enterprise-scale AI systems across both research and production environments.
 
 
 This role combines deep expertise in Machine Learning, Generative AI, distributed data systems, and cloud-native architectures with strategic leadership capabilities. The ideal candidate will lead complex AI initiatives end-to-end &mdash; from experimentation and research to scalable deployment in global enterprise environments.
 
 
 The position requires a strong balance of:
 
 <ul>
 <li>
 Technical leadership
 </li>
 <li>
 Hands-on implementation
 </li>
 <li>
 AI strategy and innovation
 </li>
 <li>
 Cross-functional collaboration
 </li>
 <li>
 Mentorship and team development
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field
 </li>
 <li>
 10+ years of experience in AI/ML, data science, distributed systems engineering, or related domains
 </li>
 <li>
 Proven experience designing and deploying production-grade AI solutions at enterprise scale
 </li>
 <li>
 Strong background in both research-driven and industrial AI environments
 </li>
 <li>
 Experience leading global or distributed technical teams
 </li>
 <li>
 Demonstrated success delivering enterprise AI transformation initiatives
 </li>
 </ul>
 
 
 Technical Expertise
 
 
 
 AI / Machine Learning
 
 <ul>
 <li>
 Large Language Models (LLMs)
 </li>
 <li>
 Generative AI systems
 </li>
 <li>
 NLP / NLU technologies
 </li>
 <li>
 Retrieval-Augmented Generation (RAG)
 </li>
 <li>
 Agentic AI workflows and orchestration frameworks
 </li>
 <li>
 AI governance and Responsible AI practices
 </li>
 <li>
 MLOps frameworks and operational AI systems
 </li>
 </ul>
 
 
 Data Engineering &amp; Distributed Systems
 
 
 <ul>
 <li>
 Apache Spark
 </li>
 <li>
 Databricks
 </li>
 <li>
 Delta Lake
 </li>
 <li>
 SQL and NoSQL databases
 </li>
 <li>
 Distributed computing architectures
 </li>
 <li>
 Streaming and batch data pipelines
 </li>
 </ul>
 
 
 Cloud &amp; Infrastructure
 
 
 <ul>
 <li>
 Azure and/or AWS
 </li>
 <li>
 Docker and Kubernetes
 </li>
 <li>
 CI/CD pipelines
 </li>
 <li>
 Infrastructure-as-Code (IaC)
 </li>
 <li>
 Cloud-native platform architecture
 </li>
 <li>
 Infrastructure optimization and cloud cost management
 </li>
 </ul>
 
 
 Programming
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Scala
 </li>
 </ul>
 
 
 Additional Qualifications
 
 
 <ul>
 <li>
 Experience building AI platforms serving multiple teams or business units
 </li>
 <li>
 Experience operationalizing AI securely in enterprise environments
 </li>
 <li>
 Strong communication and stakeholder management skills
 </li>
 <li>
 Ability to translate complex technical concepts into business value
 </li>
 </ul>
 
 
 Responsibilities
 
 
 
 AI Architecture &amp; Strategy
 
 <ul>
 <li>
 Lead the design and implementation of AI/ML solutions across multiple business domains
 </li>
 <li>
 Drive enterprise adoption of LLMs, Generative AI, NLP/NLU, and advanced analytics solutions
 </li>
 <li>
 Define AI architecture standards, MLOps best practices, and scalable deployment strategies
 </li>
 <li>
 Evaluate emerging AI technologies and identify opportunities for innovation and operational impact
 </li>
 <li>
 Translate research initiatives into production-ready AI solutions
 </li>
 </ul>
 
 
 Data &amp; Platform Engineering
 
 
 <ul>
 <li>
 Architect scalable distributed data-processing systems for large-scale datasets and real-time pipelines
 </li>
 <li>
 Design and optimize cloud-native AI platforms using modern data engineering frameworks
 </li>
 <li>
 Lead cloud migration and modernization initiatives from on-premises environments to Azure and/or AWS
 </li>
 <li>
 Implement efficient data pipelines leveraging Spark, Delta Lake, Databricks, Kubernetes, and containerized environments
 </li>
 <li>
 Ensure reliability, scalability, observability, security, and cost-efficiency of AI infrastructure
 </li>
 </ul>
 
 
 Generative AI &amp; Conversational Systems
 
 
 <ul>
 <li>
 Design and implement enterprise-grade chatbot and conversational AI platforms
 </li>
 <li>
 Lead development of RAG pipelines, agentic workflows, and LLM orchestration systems
 </li>
 <li>
 Define governance, evaluation, monitoring, and safety strategies for GenAI systems
 </li>
 <li>
 Collaborate with research teams to operationalize LLM-based applications securely and responsibly
 </li>
 </ul>
 
 
 Leadership &amp; Collaboration
 
 
 <ul>
 <li>
 Lead cross-functional teams composed of data scientists, ML engineers, software engineers, and business stakeholders
 </li>
 <li>
 Mentor engineers and researchers on AI/ML best practices, architecture, and software engineering standards
 </li>
 <li>
 Coordinate global AI initiatives across distributed teams and multiple geographies
 </li>
 <li>
 Communicate technical concepts effectively to executive and non-technical audiences
 </li>
 <li>
 Support innovation programs and AI adoption strategies across the organization
 </li>
 </ul>
 
 
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to shape enterprise AI strategy at global scale
 </li>
 <li>
 Work on cutting-edge Generative AI and applied ML initiatives
 </li>
 <li>
 International and collaborative engineering environment
 </li>
 <li>
 Access to modern cloud-native and AI technologies
 </li>
 <li>
 Professional growth, leadership exposure, and innovation-driven culture
 </li>
 </ul>
 
 
</div>

Machine learning Architect

Coca-Cola HBC

<div>
 
 
 Department
 
 : Data, Insights &amp; AI Products &amp; Platforms
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 
 As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics.
 
 
 He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 
 
 &bull; Integration of advanced AI features into Power BI reports.
 
 
 &bull; Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 
 
 &bull; Collaboration with business users to deliver intelligent, AI-powered dashboards.
 
 
 &bull; Embedding machine learning models into Power BI using Azure ML.
 
 
 &bull; Enabling predictive analytics and NLP (Natural Language Processing) within reports.
 
 
 &bull; Participate in code and design reviews to maintain a high-quality codebase.
 
 
 &bull; Collaborate across teams to help with AI adoption and best practices.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 
 
 &bull; 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 
 
 &bull; Proven experience developing AI-powered solutions in Power BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azure ML.
 
 
 &bull; Strong understanding of Power BI architecture, DAX, Power Query, and data modeling best practices.
 
 
 &bull; Familiarity with Azure AI Services (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 
 
 &bull; Experience with Python and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 
 
 &bull; Understanding of natural language processing (NLP) and its application in business reporting is a plus.
 
 
 &bull; Hands-on experience with Azure Machine Learning, Databricks, or Synapse Analytics is beneficial &ndash; focus on data preparation pipelines that feed into Power BI.
 
 
 &bull; Comfortable working in Agile environments using tools like Azure DevOps.
 
 
 &bull; Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 
 
 &bull; Strong analytical thinking, communication, and stakeholder collaboration skills.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

AI Developer

YO IT Consulting

<div>
 
 Job Type:
 
 Contract, Part-time
 
 
 
 Location:
 
 Remote
 
 
 Role Description
 
 
 In this hourly, remote contractor role, you will work as a Copywriting &amp; Content Subject Matter Expert (SME) to review AI-generated marketing/content-writing outputs and/or create expert copy and content, evaluating reasoning quality, intent alignment, and step-by-step writing decisions while providing precise written feedback. You will assess solutions for accuracy, clarity, brand fit, tone, and adherence to the prompt; identify issues in logic, messaging, audience targeting, claims/compliance risk, structure, and style; fact-check statements where needed; write high-quality explanations and model outputs that demonstrate strong copywriting technique; and rate and compare multiple responses based on effectiveness, correctness, and reasoning quality. This role is with a fast-growing AI Data Services company delivering training data for many of the world&rsquo;s largest AI companies and foundation-model labs. Your copywriting expertise directly helps improve the world&rsquo;s premier AI models by making their writing more persuasive, accurate, on-brand, and clearly explained. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.
 
 
 
 Your Profile
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree (or higher) in Communications, Marketing, Journalism, English, or a related field (or equivalent professional experience).
 </li>
 <li>
 5+ years of professional experience in copywriting, content writing, editorial, content marketing, or brand storytelling.
 </li>
 <li>
 Strong command of brand voice, tone adaptation, and audience-aware writing (B2B and/or B2C).
 </li>
 <li>
 Ability to evaluate and improve writing for clarity, structure, persuasion, and consistency, including headlines, CTAs, and narrative flow.
 </li>
 <li>
 Demonstrated ability to spot and correct factual errors, weak reasoning, overclaims, and potential compliance issues (especially in regulated domains).
 </li>
 <li>
 Familiarity with common content formats: landing pages, email campaigns, blog posts, ads, social posts, product copy, scripts, and long-form guides.
 </li>
 <li>
 Comfort providing specific, actionable feedback and writing gold-standard rewrites with rationale; minimum C1 English proficiency.
 </li>
 <li>
 Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
 </li>
 <li>
 Prior experience with AI data training/annotation, content QA, editorial operations, or style-guide governance is strongly preferred.
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop AI Training Content: Create detailed prompts and gold-standard copy/content across multiple formats and industries to guide AI learning.
 </li>
 <li>
 Optimize AI Performance: Evaluate and rank AI responses to improve clarity, persuasion, tone match, and factual reliability.
 </li>
 <li>
 Ensure Model Integrity: Test AI outputs for inaccuracies, hallucinated claims, bias, unsafe advice, and brand-risk issues; validate reliability across use cases.
 </li>
 </ul>
</div>

Copywriter - Remote

Content Editor - Remote

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