Artificial Intelligence

• Own 1–2 series at a time (10–15 episodes per series, ~1 min per episode + a trailer)
• Work with our in-house AI copilot for character consistency, casting, and trailer generation.
• Direct, edit, and finish each episode yourself. You create scripts; you bring the storytelling and craft.
• We will teach you AI Content creation. If you have a strong background in film editing, you will learn fast.
• Collaborate with our team of AI Content Creators, tech team, other Short Film Directors, and our exec team

Senior AI Vertical Mini-Series Director – Freelance

• Own the end-to-end landing page production process, from strategy and planning to deployment and optimization.
• Develop high-converting comparison pages, advertorials, listicles, and product landing pages for paid acquisition campaigns.
• Define customer awareness levels, messaging angles, hooks, and conversion strategies for different audience segments.
• Use AI tools such as Manus, Claude, and proprietary systems to generate, refine, and scale landing page production.
• Collaborate closely with media buyers to align landing page strategy with campaign objectives and traffic sources.
• Create and test multiple landing page variants across different brands and product categories.
• Analyze landing page performance data and identify opportunities to improve conversion rates.
• Conduct competitor, customer, and market research to uncover winning messaging, objections, and emotional triggers.
• Develop and maintain swipe files, copy frameworks, and landing page best practices.
• Perform quality assurance reviews to ensure accuracy, persuasion, user experience, and mobile responsiveness.
• Build and document SOPs for landing page creation, optimization, and AI-assisted workflows.
• Stay current with direct-response marketing trends, conversion rate optimization techniques, and emerging AI tools.

Landing Page Expert – AI-Powered Direct Response

• Build internal tools and automation workflows for the operations team using Cursor and n8n
• Fix bugs and ship features in fast iterations - 3-4 production releases per day
• Design and deploy AI agents that automate repetitive operational tasks end-to-end
• Integrate with third-party APIs and internal systems without handholding
• Own QA - test your releases against real business logic before pushing
• Talk directly with ops users and translate vague feedback into precise solutions

AI Operations Engineer

• Set up and lead the newly established Ops AI Enablement team, including Senior AI Process Specialists and selected technical profiles.
• Define ways of working, roles, and collaboration model across Operations, CoE, Data, and technical enablement.
• Act as a people leader for the Ops AI Enablement team, fostering effective collaboration, clarity of ownership, and continuous learning.
• Play a key role in setting up the Ops AI Enablement team, including defining ways of working, interfaces to CoE, and collaboration with Operations leadership.
• Define and maintain the AI roadmap for Operations, aligned with Ops strategy, priorities, and maturity.
• Own the Ops AI innovation funnel and backlog, including intake, prioritisation, and sequencing of AI initiatives.
• Translate operational challenges into clearly scoped AI use cases with defined value hypotheses.
• Own the benefits tracking framework for Ops AI initiatives: define metrics, measurement methodology, and reporting cadence.
• Report AI value outcomes in regular business reviews, ensuring accountability for results across the Operations leadership team.
• Proactively flag initiatives that are underperforming and drive corrective action.
• Act as a critical link between complex technical AI possibilities and senior business leadership, providing clarity and actionable insights.
• Act as a key driver of AI adoption in Operations, ensuring AI solutions are embedded into day‑to‑day workflows.

Head of AI Operations

• Lead client discovery and pre-sales engagements, identifying AI opportunities, structuring business problems, defining AI project scopes, and shaping solution approaches.
• Own or significantly contribute to proposals, discovery workshops, business cases, solution concepts, and statements of work.
• Translate business objectives into data, AI, and GenAI strategies, ensuring that analytics, automation, and model development are directly linked to measurable business value.
• Advise senior stakeholders on technology and architecture choices, balancing feasibility, cost, risk, security, compliance, scalability, and expected business outcomes.
• Challenge assumptions and recommend the most appropriate AI approach for the client context, including when AI is not the right solution.
• Liaise between business, technical, delivery, and leadership teams to ensure clear communication and alignment across disciplines.
• Lead AI project delivery from a consulting perspective, overseeing execution quality, stakeholder alignment, business impact, and value realization.
• Co-create the strategy, vision, standards, and roadmap for Spyrosoft’s AI Consulting offering.
• Mentor consultants, engineers, and other team members in AI consulting practices, discovery methods, solution framing, and stakeholder communication.
• Communicate AI insights and recommendations clearly to executive, business, and technical audiences.

Lead AI Consultant

• Design and run short multi-turn conversations (typically 1–5 turns) intended to test AI personalization behavior
• Create prompts grounded in realistic personal scenarios to evaluate contextual understanding
• Review AI responses to determine whether personalization is correctly applied
• Check grounding quality to ensure the model does not invent unsupported claims about the user
• Evaluate integration quality — confirming personal signals are used naturally (not forced or robotic)
• Compare two responses side-by-side and determine which is more helpful, natural, and relevant
• Write clear, structured rationales explaining rankings and referencing specific conversation turns
• Verify debug information showing whether correct data sources were used
• Maintain strict workflow hygiene (including deleting evaluation conversations when required)

AI Evaluator, Polish

• Design and deliver a structured AI training strategy with Beginner, Intermediate, and Advanced learning pathways aligned to enterprise outcomes
• Create persona-based, workflow-driven learning journeys for executives, leaders, functional teams, and specialists
• Develop and maintain high-quality training assets (instructor-led and self-paced), including decks, labs, guides, videos, prompt packs, FAQs, and trainer kits
• Deliver global AI enablement through workshops, webinars, coaching, and hands-on, scenario-based sessions tied to real business workflows
• Teach practical AI and GenAI concepts, including prompt patterns, limitations, validation practices, and human-in-the-loop controls
• Lead Microsoft Copilot and M365 enablement, ensuring responsible, effective day-to-day usage aligned with security and privacy requirements
• Measure training effectiveness and adoption, continuously improving content and scaling impact through a global train-the-trainer and champion community model.

Senior Artificial Intelligence Trainer

• Build Creative Pipelines: Create and manage advanced, node-based generative AI workflows for production-ready visuals.
• Automate the Boring Stuff: Write simple scripts (Python or similar) to handle batch image processing and asset organization.
• Bridge the Gap: Act as the "translator" between our designers, technical engineering team and our Creative Technology Lead.
• Test & Ship: Find the best new AI models, test them, and turn them into reliable tools the whole design team can use daily.
• Define best practices, necessary documentation, and technical guardrails.

AI Technical Designer

• Manage the delivery of AI technology projects — Oversee end-to-end delivery of AI technology projects—defining solutions, translating complex capabilities into user-centric features, managing the full product lifecycle, and prioritizing the backlog to align with business goals, regulations, and user needs
• Collaborate with multidisciplinary teams (data scientists, engineers, designers, compliance experts) to deliver innovative features
• Lead product demos and stakeholder sessions
• Measure and calculate the impact of AI solutions—define key metrics, analyze outcomes, and clearly communicate results
• Develop commercial proposals for AI solutions, aligning technology capabilities with business objectives, prepare effort and cost estimations.

AI Solutions Delivery Manager – R&D Team

• Conduct structured discovery and audit sessions with clients to assess current operations, including ticketing workflows, SLAs, and key performance metrics (CSAT, FCR, AHT, response times);
• Analyze support workflows, ticket categories, volume patterns, and escalation paths to identify inefficiencies, bottlenecks, and high-impact automation opportunities;
• Evaluate clients' existing customer support platforms (Zendesk, Freshdesk, Intercom, etc.) and assess the maturity of their automation and AI feature usage;
• Design scalable workflow and automation strategies tailored to each client's support operations, technology stack, and business goals.;
• Identify and recommend AI-powered solutions such as chatbots, NLP-driven ticket classification, auto-triage systems, and agent assist tools to improve efficiency and customer experience;
• Develop AI readiness assessments and roadmaps that outline current-state gaps, target-state vision, and a phased implementation plan;
• Translate technical findings and data-driven insights into clear, actionable recommendations and executive-ready deliverables for both technical and non-technical stakeholders;
• Stay current on emerging AI technologies, vendor capabilities, and best practices in customer support automation to advise clients on innovation opportunities.

AI Solutions Specialist, Fluent English

• Identify, design, and implement AI-driven solutions to automate compliance and operational workflows.
• Analyse existing processes across Compliance and Operations to identify inefficiencies and automation opportunities.
• Build and maintain tools (scripts, workflows, agents) to reduce manual workload and improve scalability.
• Support integration of AI tools into existing systems (e.g. CRM, case management, onboarding/KYC flows).
• Continuously evaluate new AI technologies and assess their applicability to business needs.
• Design and maintain dashboards to provide visibility on key compliance and operational metrics.
• Automate recurring reporting (regulatory, internal MI, operational KPIs).
• Work with structured and unstructured data to generate actionable insights.
• Improve data quality, accessibility, and consistency across teams.
• Support ad hoc data analysis requests from Compliance, Operations, and senior management.
• Partner with Compliance, Operations, Product, and Engineering teams to implement scalable solutions.
• Translate business problems into technical requirements and AI-driven solutions.
• Act as a bridge between non-technical stakeholders and technical implementation.
• Support business initiatives where automation or data-driven decision-making is required.
• Ensure all AI and automation solutions align with regulatory requirements and internal policies.
• Maintain clear documentation of tools, processes, and decision logic.
• Support auditability and transparency of automated processes.
• Monitor performance and risks of deployed solutions and implement improvements where needed.
• Proactively identify new use cases for AI across the business.
• Drive a culture of efficiency, automation, and data-driven thinking.
• Stay up to date with developments in AI, automation, and data tooling.
• Contribute to long-term strategy on how AI can enhance compliance and operations functions.

Compliance Automation, AI Analyst

• Integrate AI infrastructure within Salesforce to ensure seamless adoption by customer-facing teams.
• Collaborate with Data Engineering to oversee the ingestion, storage, and integrity of AI-generated data (e.g., CS tickets labeling, transcripts, sentiment logs) in compliance with GDPR.
• Manage the full project lifecycle, from initial technical design and documentation to production maintenance and internal stakeholder adoption.
• Build and maintain custom AI agents to automate high-volume repetitive manual tasks.
• Perform continuous tuning of bot logic and prompt structures to improve output accuracy and Customer Satisfaction (CSAT) benchmarks.
• Serve as the primary point of contact for operational teams, translating business requirements into functional AI-driven solutions and automations.
• Transition experimental models in collaboration with the Data Science team into scalable, enterprise-grade operational tools.
• Monitor and report on AI performance metrics to ensure alignment with departmental KPIs.

AI Operations Specialist

• Annotation - Audio/Video/Image/Sentence/Word validation
• Categorization, Conversational interactions
• Content creation
• Correction
• Evaluation
• Localization

Polish Linguist Expert

• Keep us current on what is actually worth using: Anthropic, OpenAI, Google, open source, the agentic ecosystem
• Test things, form opinions, make recommendations backed by evidence
• Take AI from prototype to production
• Set up agents, plugins, MCP servers, hooks, and integrations that run reliably
• Get the operational side right: access, cost limits, audit trails
• Run the AI coding assistant stack
• Build the shared infrastructure: MCP servers, agent configs, reusable prompts, custom tools
• Help teams actually use it by pairing with engineers on real work
• Work with the Chief Architect on code review standards, patterns, and tooling

AI Enablement Engineer

• Collaborate in the creation of high-performing video ads for digital platforms (social media, adult/adult-adjacent sites), focusing on engagement and user acquisition
• Assist with editing and post-production of marketing videos, ensuring they are visually appealing and aligned with campaign goals
• Collaborate with the marketing and creative teams to develop and execute concepts and storyboards
• Use AI tools like Midjourney, Stable Diffusion, Runway, and other generative technologies to enhance creative output
• Apply feedback and iterate on video content based on performance and team input
• Adapt content for different formats, aspect ratios, and platform requirements
• Stay up to date with trends in AI, short-form video and digital advertising
• Help ensure content aligns with platform policies and brand guidelines

Junior/Mid AI Video Artist

• Independently source, research, and build a targeted list of potential partners within the education ecosystem.
• Conduct structured outreach to educational counselors, schools, colleges, research clubs, media companies, and other relevant institutions.
• Identify, pitch, and secure new partnership opportunities to drive regional growth.
• Maintain and strengthen relationships with existing partners to ensure long-term collaboration and engagement.
• Manage and track partnership pipelines, activities, and performance using internal systems or CRM tools.
• Continuously refine outreach strategies and partnership approaches to improve conversion and expansion.

Junior Partnership

• Continuously improve the AI interaction experience for company employees identifying friction, proposing solutions, and iterating based on real usage data.
• Audit existing AI tools and automation workflows across assigned business areas to identify inefficiencies, duplication, risks, and high-value opportunities.
• Build and maintain an AI/automation backlog and roadmap, prioritizing initiatives by impact, effort, and risk: each with clear KPIs and a baseline-to-target measurement approach.
• Lead 1–2 small-to-mid initiatives end-to-end: from opportunity assessment and PoC through to pilot, rollout support, and post-launch performance tracking.
• Contribute to AI governance alongside Security, Compliance, and Legal, applying existing policies and helping maintain practical checklists and standards for data handling, access controls, logging, and vendor usage.
• Support the evaluation and onboarding of external AI vendors and partners: collect requirements, coordinate demos and pilots, participate in due diligence, and summarise ROI findings with a clear recommendation.
• Align stakeholders and keep delivery moving: facilitate working sessions, document decisions, surface blockers early, and provide transparent status updates without waiting to be asked.
• Produce clear, audience-appropriate documentation: requirements (PRD/BRD), decision records (ADRs), rollout runbooks, user guidance, and progress reports.
• Analyse routine tasks with business stakeholders, design AI-based automation, run testing and UAT, deliver the final solution, and confirm satisfaction post-launch.

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