• Write original client case studies that document KDCI’s results, processes, and business impact across industries.
• Produce research papers and white papers analyzing business process outcomes, outsourcing performance, productivity, cost efficiency, and operational improvements.
• Write company newsletters and internal/external updates highlighting milestones, client wins, product launches, and company developments.
• Propose story ideas and research topics to the marketing and leadership team, based on trends, client data, and market opportunities.
• Conduct interviews with clients, account managers, executives, and subject-matter experts to gather firsthand insights.
• Perform independent research, data validation, and fact-checking to ensure accuracy and credibility.
• Translate complex business and operational concepts into clear, persuasive, and engaging content for executive-level and professional audiences.
• Collaborate with marketing, sales, and leadership to align content with strategic positioning and go-to-market initiatives.
• Revise and refine content based on editorial feedback while maintaining high standards of quality, structure, and originality.
• Maintain consistency with KDCI’s brand voice, tone, and editorial standards across all written materials.

• Bachelor’s degree in Journalism, Communications, English, Business, or a related field.
• 2–4 years of professional writing experience in journalism, research writing, B2B content, or editorial publishing.
• Demonstrated experience writing case studies, research articles, white papers, or analytical business content.
• Strong portfolio of published work showing original reporting, structured thinking, and depth of analysis.
• Ability to conduct interviews, extract insights, and synthesize qualitative and quantitative information into compelling narratives.
• Exceptional writing, editing, and proofreading skills with attention to clarity, logic, and factual accuracy.
• Ability to independently generate content ideas and story angles without relying on prompts.
• Strong time management skills and the ability to manage multiple projects and deadlines.
• Comfortable working cross-functionally with marketing, operations, and executive leadership.

• Spreadsheet management and administrative support tasks

• Male or Female, ages 15–25
• Stable computer and reliable internet connection
• Strong commitment, motivation, and willingness to learn

Who we are

About the role

• System Architecture: Design and implement end-to-end AI systems and their parts, including data ingestion, preprocessing, model inference, and output structuring
• Generative AI Development: Build and optimize RAG (Retrieval-Augmented Generation) systems and Agentic workflows using frameworks like LangChain, LangGraph, ADK (Agent Development Kit), Genkit
• Production Engineering: Deploy models to production environments (AWS/GCP/Azure) using Docker and Kubernetes, ensuring high availability and scalability
• Evaluation & Monitoring: Implement feedback loops to evaluate model performance (accuracy, hallucinations, relevance) and set up monitoring for drift in production
• Collaboration: Work closely with other engineers to integrate AI endpoints into the core product and with product managers to define AI capabilities
• Model Optimization: Fine-tune open-source models (e.g., Llama, Mistral) for specific domain tasks and optimize them for latency and cost

• Python (Preferred)
• Java / C++ / Scala / R / JavaScript

[](/r/freelance_forhire/?f=flair_name%3A%22Hiring%22)We are seeking a dedicated Social Media Secretary for a private, members-only mental health–focused Snapchat page.

• Platform: Private Snapchat (members-only)
• Schedule: FULL-TIME ONLY ❌ Not part-time ❌ Not occasional ❌ Not “when available”

• Has a soothing, gentle, reassuring voice
• Naturally calming and emotionally grounded
• Comfortable navigating high-emotion or anxiety-driven conversations
• Highly responsive, extremely available and accessible
• Strong communication skills and discretion
• Able to maintain confidentiality and professionalism at all times

• Consistent availability throughout the day
• Fast response times
• Ability to de-escalate tension and provide emotional reassurance
• Long-term commitment preferred

• Age
• Gender
• Location

Who we are

About the role

• System Architecture: Design and implement end-to-end AI systems and their parts, including data ingestion, preprocessing, model inference, and output structuring
• Generative AI Development: Build and optimize RAG (Retrieval-Augmented Generation) systems and Agentic workflows using frameworks like LangChain, LangGraph, ADK (Agent Development Kit), Genkit
• Production Engineering: Deploy models to production environments (AWS/GCP/Azure) using Docker and Kubernetes, ensuring high availability and scalability
• Evaluation & Monitoring: Implement feedback loops to evaluate model performance (accuracy, hallucinations, relevance) and set up monitoring for drift in production
• Collaboration: Work closely with other engineers to integrate AI endpoints into the core product and with product managers to define AI capabilities
• Model Optimization: Fine-tune open-source models (e.g., Llama, Mistral) for specific domain tasks and optimize them for latency and cost

• Python (Preferred)
• Java / C++ / Scala / R / JavaScript

• Hire and develop a team of deeply technical field engineers capable of guiding AI native customers across a wide range of data, analytical, and AI workloads.
• Adapt the team's skills and engagement model to match the needs of digital and AI native customers
• Consistently meet or exceed targets by making sure the team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle
• Travel to customer sites for executive sessions, technical workshops, and building relationships
• Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team
• Stay current with emerging Data and AI trends in the digital native tech sector

• 7+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning)
• 3+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment
• A history of building a territory, growing strategic customers, and exceeding targets
• Experience in influencing large product and engineering decisions based on customer and market evidence.
• A track record of evolving and changing your team engagement models to adapt to customers' demands.
• Technical depth and skills in the data and AI space to build credibility with the team, customers, and stakeholders.
• Inspiring a team vision about the unique nature of the AI natives business
• A history of execution by managing workloads and consumption with sales, product, and engineering counterparts
• Experience owning technical executive alignment in accounts that guide strategic decisions

• Design and implement behaviors, decision-making systems, and supporting engine- or gameplay-level features. Write high-quality, maintainable C++ code and supporting tests.
• Partner with design, gameplay engineering, QA, and other disciplines to define AI behavior and ensure it aligns with product goals.
• Develop automation tests and test frameworks that improve iteration speed, feature stability, and correctness.
• Write technical plans for ambiguous or novel problems, ensuring solutions are technically sound, forward-looking, and aligned with product needs.
• Contribute to evolving architecture for AI systems, behavior trees, automation pipelines, and supporting tooling.
• Participate in code reviews, improve engineering standards, and help elevate team-wide technical quality.
• Other duties as required by management.

• 4+ years of experience as a hands-on software engineer
• Proficiency in C++ and experience working in large or complex codebases
• Experience building gameplay or AI systems, such as behavior trees, state machines, or decision-making frameworks
• Experience working on AI systems in shipped titles or large-scale game projects
• Strong communication skills and ability to collaborate with multidisciplinary partners

• Experience developing for commercial game engines (Unreal Engine preferred)
• Experience with machine learning AI workflows (training, evaluation, inference)
• Experience writing automation tests or working with automated testing systems
• Experience designing and maintaining test automation frameworks

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters