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Each project shows scope, budget, languages, and tool context before a freelancer decides to propose.
3
Visible projects
33
Hiring categories
Milestone-first
Default payment posture
Construir um MVP multilíngue para marketplace de freelancers de IA
Preciso de alguém experiente para lançar descoberta de talentos, dashboards, contratos por marcos e controles administrativos.
Budget
$6,400
Timeline
3 weeks
Client
AIFreelancr Labs
Proposals
12
Criar um sistema de lançamento guiado por marca para uma oferta
Procuro uma pessoa criativa que una direção de marca, design de conversão e produção assistida por IA.
Budget
$2,400
Timeline
10 days
Client
Northbeam Labs
Proposals
9
Pesquisar e sequenciar uma lista outbound global
Preciso de pesquisa bilíngue e limpeza de dados para outreach nos EUA e LatAm.
Budget
$1,350
Timeline
1 week
Client
Morrow Health
Proposals
6
Scope should be visible before the first call.
Budget and timeline should reduce guesswork for the freelancer.
Tool expectations help specialists know whether they are actually the right fit.
AI Engineering
For teams that need product work finished this week.
Brand Systems
For offers that need authority, clarity, and speed.
Growth Ops
For teams building steady growth systems.
Agent Design & Automation
For teams replacing repetitive coordination with AI-assisted execution.
Tool Integrations
For teams that need clean handoffs between systems, not more tabs.
Prompt Systems
For teams that need prompt quality to stay stable after the launch week.
LLM Evaluation & QA
For teams that need to trust what their AI outputs in production.
Fine-Tuning & Retrieval
For products that need answers tied to real company information.
Data Labeling & Synthetic Data
For teams training or testing systems that need cleaner data foundations.
AI Product Prototyping
For teams validating AI product direction before a heavier build.
AI UX/UI Design
For teams that need AI products to feel legible, calm, and easy to trust.
Motion & Generative Video
For offers that need visual energy without losing brand control.
Audio & Voice AI
For teams shipping voice experiences that still sound human.
Writing & Editorial AI
For teams that need faster writing without flattening their voice.
Research & Knowledge Ops
For teams turning scattered information into useful action quickly.
SEO & Content Growth
For companies building durable discovery instead of short spikes.
Paid Acquisition Systems
For teams that need acquisition systems with cleaner attribution.
Sales Outreach & Lead Ops
For teams scaling outreach without losing precision.
CRM & RevOps Automation
For teams that want cleaner forecasting and less manual admin.
Customer Support AI
For support teams that need faster resolution without colder service.
Executive Ops & Assistants
For leaders who need focus protected without losing context.
Marketplace & Community Ops
For communities that need clear standards and strong participation loops.
Recruiting & Talent Ops
For teams hiring at speed without lowering the quality bar.
Analytics & BI Automation
For teams that need numbers explained, not just collected.
Finance Ops Automation
For finance teams reducing manual follow-up and approval drift.
Legal Ops Automation
For legal teams that need cleaner intake and less repetitive admin.
Ecommerce AI Systems
For ecommerce teams shipping faster merchandising and customer experiences.
Social & Creator Ops
For brands publishing across channels without losing consistency.
Localization & Multilingual AI
For teams expanding into new languages without messy handoffs.
Presentation & Pitch Systems
For teams that need the room to understand the idea fast.
Training & Learning Content
For teams teaching customers, hires, or partners at scale.
Security & AI Governance
For teams putting real guardrails around AI use.
Infrastructure & Deployment
For teams that need the stack to stay calm when usage climbs.
