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

• Build and maintain AI-powered internal tools, web applications, and automation systems.
• Develop end-to-end solutions, including frontend, backend, databases, and API integrations.
• Integrate LLMs such as Claude, GPT, and Anthropic APIs into real-world business workflows.
• Create AI pipelines involving data scraping, processing, analysis, and structured output generation.
• Enhance and maintain existing tools, including Adcubator’s AI landing page builder.
• Develop integrations with platforms such as Slack, ClickUp, Google Workspace, and Google Ads API.
• Build web scrapers, automation workflows, dashboards, and reporting systems.
• Collaborate with marketing, media buying, and creative teams to identify challenges and deliver scalable solutions.
• Rapidly prototype, test, and deploy new tools while continuously improving performance and user experience.

AI Tools Builder, Ads Agency

• Own the client-CEO relationship and the executive steering committee — as a peer, with real decision rights.
• Run the transformation cadence: weekly reviews, monthly finance-verified value reviews, and quarterly business reviews.
• Drive a fast, fixed-scope first win on the client's real data, then lead the full rollout (leadership first, then the wider team).
• Translate client problems into crisp, build-ready specs for remote engineers; own adoption and sign-off.
• Be personally accountable for a finance-verified outcome the client can see in their P&L.
• Build a portfolio of 2–3 marquee CEO accounts as each engagement matures.
• Own end-to-end rollout management — from kick-off through adoption, sign-off, and handover — ensuring every phase lands on time and to a measurable outcome.
• Codify the method after each deployment so the next one requires less ramp-up.

Client Deployment Lead, AI – LATAM market

• Create realistic prompts based on common small business situations and goals
• Interact with multiple AI chatbots and compare response quality
• Evaluate outputs based on **accuracy**, **clarity**, **usefulness**, and business relevance
• Review AI-generated visual and written business content
• Assess workflows involving spreadsheets, PDFs, images, and business documents
• Provide structured comparative feedback and scoring
• Submit completed evaluation reports and conversation transcripts
• Test AI handling of customer communication and operational scenarios
• Contribute business insights related to marketing, research, and financial planning
• Follow detailed evaluation guidelines and quality standards

Small Business Owner – AI Training Project

• Design difficult chemistry problems that reflect real scientific workflows
• Create deterministic tasks with one correct answer and full verified solutions
• Develop reasoning-intensive and computationally grounded problems
• Use Python and, where appropriate, domain-specific chemistry tools or simulation packages
• Ensure all tasks are reproducible, technically precise, and clearly documented
• Write concise and rigorous technical explanations in English

Chemistry Expert – AI Trainer

• Partner with US-based team to translate strategy into clear backlogs, requirements, and delivery plans.
• Work with developers, UX, and QA to ensure clarity of scope and alignment with client needs.
• Facilitate workshops, backlog grooming, and requirement walkthroughs with both clients and squads.
• Provide hands-on product support, clarifying requirements, reviewing designs, or validating test results.
• Maintain backlog hygiene and readiness, ensuring work is clearly defined, prioritized, and ready for engineering execution.
• Plan, track, and manage risks across multiple streams, ensuring financial, scope, and quality targets are met.
• Manage dependencies, holding clients accountable for inputs needed to keep LAB49 delivery on track.
• Support engagement leadership in reporting progress, risks, and outcomes to stakeholders.
• Maintain delivery quality through oversight of requirements, timelines, design reviews, and testing practices.

Senior Product & Delivery Manager – Enterprise AI

• Discovery & Business Transformation: Partner directly with client executives and non-technical business leads to audit operational workflows, identify bottlenecks, and map out strategic, high-impact AI digital transformation roadmaps.
• Rapid Prototyping & Solution Shaping: Independently design, build, and deploy rapid Proof of Concepts (POCs) and MVPs using prompt engineering, AI agents, RAG, and modern development/automation platforms (e.g., n8n, Zapier, Cursor, Lovable, Replit).
• Cross-Functional Bridge & Delivery: Serve as the core translator between business units and enterprise engineering squads, turning successful scrappy prototypes into clearly scoped production requirements, data flows, and functional specs.
• Risk & Reliability Mitigation: Proactively identify and address implementation risks regarding data privacy, enterprise security, system hallucinations, and operational reliability.
• Commercial & Strategic Growth: Identify opportunities to scale standalone pilot projects into broader enterprise implementations or long-term service agreements, specifically mapping out AI ecosystems across marketing technology and customer experience (CX) architectures.

Forward Deployed AI Consultant – Tech Consulting, Digital Agency

• Lead the end-to-end lifecycle of process transformation initiatives across Revenue functions, including discovery, current-state mapping, diagnosis, prioritization, future-state design, implementation, and measurement.
• Maintain the methodology playbook that governs how process improvement work is scoped, designed, executed, and validated across the organization.
• Partner with the AI Tiger Team, Digital team, automation engineering, and analytics teams to embed AI, automation, and predictive capabilities into redesigned workflows where they earn their place.
• Facilitate structured discovery and mapping sessions with cross-functional stakeholders and subject matter experts across the business to surface friction, decision gaps, and improvement opportunities.
• Apply structured prioritization frameworks (Impact × Feasibility × Strategic Fit) to maintain a ranked working backlog of transformation opportunities aligned to Revenue priorities.
• Define and track the three-tier metrics framework: business outcomes, process metrics, and adoption - for every initiative, ensuring baseline, target, and measured actuals are documented before kickoff.
• Establish feedback mechanisms that capture how launched solutions are performing, across user feedback, system data, business outcomes, and customer signals, and use those insights to inform the next cycle of prioritization decisions.
• Partner with business owners to ensure every initiative has clear outcome accountability outside the transformation team.
• Partner with change management, enablement, and training teams to ensure adoption sustains beyond launch.
• Apply structured decision frameworks to determine the right blend of process redesign, analytics, automation, and AI capabilities for each transformation initiative.

Process Transformation Lead – Automation & AI

• Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models.
• Create deterministic problems with exactly one correct answer
• Write complete, verified solutions and clearly document the reasoning process
• Develop problems that test deep mathematical reasoning, not just memorization
• Where relevant, use Python or specialized tools to build computational workflows
• Ensure all outputs are technically precise, reproducible, and well-written in English

Mathematics AI Training Expert

• Analyze end-to-end creative workflows to identify automation opportunities, operational inefficiencies, and areas where AI can accelerate content production without compromising creative quality or brand consistency.
• Design and implement scalable AI-enhanced workflows that streamline creative operations, improve delivery speed, and support high-volume content production across multiple channels and formats.
• Partner closely with creative directors, producers, designers, and content teams to understand workflow requirements, operational constraints, and creative objectives, translating them into effective AI-powered solutions.
• Drive continuous process improvement initiatives by monitoring workflow performance, identifying bottlenecks, and optimizing team productivity, output velocity, and operational efficiency.
• Configure and customize AI-powered creative platforms such as Adobe Express, Figma, Pencil, Typeface, and GenStudio to align with client brand guidelines, approval structures, and creative workflows.
• Build and maintain automated content creation pipelines leveraging existing AI tools, creative platforms, and workflow automation solutions.
• Establish governance frameworks, quality control standards, and approval processes to ensure responsible, brand-safe, and consistent use of AI-generated creative assets.
• Lead integrations between AI creative platforms and existing technology ecosystems, including DAMs, CMS platforms, project management tools, and collaboration systems.
• Develop and facilitate training programs, workshops, and enablement sessions to help creative teams effectively adopt AI tools and accelerate workflow execution.
• Lead phased AI solution rollouts, ensuring smooth implementation, stakeholder alignment, and strong adoption across cross-functional creative teams.
• Mentor creative operations and production teams on AI workflow optimization strategies, operational best practices, and scalable content production methodologies.
• Provide ongoing support and guidance throughout the adoption journey, helping teams adapt processes, solve workflow challenges, and maximize the impact of AI-enabled creative operations.

AI Creative Operations – Marketing

• 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

• Implementation: Work with small teams to deploy and adapt AI solutions for specific clients or industries, ensuring the API fits their workflows.
• Architecture & Standards: Ensure final deployments follow internal standards for security, data privacy (PII masking), and LLM cost control.
• Tool Development: Identify repeated client requests and build internal libraries, SDKs, or tools to automate those tasks for the engineering team.
• Technical Analysis: Partner with Product Managers to run technical deep dives with users and identify pain points that standard metrics may miss.

Forward Deployed Engineer, AI - Advertising

• Process incoming Resume Review requests within agreed turnaround times
• Generate a structured written review using JobHire’s methodology + AI prompts
• Check output quality: accuracy, consistency, tone, and actionable “before → after” rewrites
• Record a short Loom video (~2 min) in English
• Communicate with clients when clarification is needed (email/chat), using AI to speed up
• Collect and synthesize user feedback; improve prompts, checklist, and methodology

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