Top Artificial Intelligence Jobs in Brazil

The role involves auditing and evaluating AI chatbot conversations to improve communication quality, requiring a degree in translation or linguistics and native-level Brazilian Portuguese fluency.

Review and rate AI-generated dubbed media for Portuguese (Brazil) and German audiences on understandability, meaningfulness, prosody, voice naturalness and similarity, audio quality, and text-speech alignment using an AI platform. Complete language assessments and a client test, collaborate with a global team, and maintain 20 hours/week availability with a reliable remote setup.

The AI/ML Engineering Manager will lead a team of ML engineers, manage client engagements, shape architecture, and drive pre-sales while ensuring team growth and performance.

Perform part-time remote data tasks to improve English AI outputs: collect, evaluate, and annotate data; conduct pairwise comparisons and counting tasks; tag and label objects across audio, video, images. Flexible, long-term freelance work based in Brazil.

Lead design and governance of a semantic layer and AI capabilities for commercial and medical data in oncology. Build and prototype GenAI/RAG solutions, define guardrails, ensure compliance (HIPAA/GDPR/GxP), integrate with BI/CRM, and drive adoption through cross-functional collaboration, monitoring, and documentation.

Produce high-performing AI-driven paid ads from concept to final cut using AI avatars, voiceovers, b-roll, and motion graphics. Match and iterate on existing ad styles, collaborate with copywriters, optimize for hooks/pacing/CTAs, scale volume, and stay current with AI tools to innovate creative formats.

As an AI Tech Lead at Trafilea, you will design and build AI-driven architecture, mentor engineers, and ensure scalable solutions aligning with business goals.

The Tech (AI) / Data Talent Acquisition Sr Recruiter will manage recruitment for senior tech positions, develop strategies, and build relationships with candidates while maintaining metrics and reports.

The Senior AI/ML Engineer will architect and develop AI/ML solutions, collaborate with teams, and ensure deployment compliance, especially in healthcare.

As an AI Data Engineer, you will build end-to-end data pipelines, collaborate on AI features, and ensure data quality across our systems.

Lead design and delivery of production-grade AI features and platforms. Build backend LLM orchestration, RAG pipelines, evaluation systems, and front-end experiences. Architect scalable, cost-efficient AI workflows, define best practices, mentor engineers, and collaborate with Product and Design to prioritize MVPs and technical trade-offs.

Embed with client teams to map and redesign workflows, establish operating models, and drive AI-powered adoption. Conduct organizational diagnostics, scope engagements, and build working prototypes using LLM APIs and low-code/no-code tools to demonstrate value, align stakeholders, and support rollouts with change management and measurement frameworks.

Map and redesign creative workflows, build and deploy AI-powered content pipelines integrated with DAM/CMS and marketing stacks, implement prompt/agent architectures and automation, establish governance and adoption, and deliver production-ready proofs of concept and reusable accelerators to drive measurable operational improvements.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Contribute to all lifecycle stages of AI products, manage agent systems, utilize AI in workflows, and support cross-team AI enablement.

As an AI Process Forward Deployed Engineer, you will deploy enterprise workflows, improve systems, drive adoption, and collaborate across teams to enhance AI integration in business processes.

The role involves developing full-stack applications for mental healthcare, utilizing TypeScript, Node.js, React, and AI tools. Candidates will own features end-to-end and collaborate with teams to enhance user experience and system performance.

As a Senior Software Engineer, you'll develop full-stack applications, design backend services, improve system performance, and utilize AI tools in a healthcare-focused team.

Join the Advanced Accelerator Training Program to master AI/ML skills, engage in real projects, and prepare for impactful roles. Requires 4+ years of ML experience and proficiency in Python and relevant frameworks.

As an Agentic AI Solutions Architect, you'll lead client technical engagements and design AI and automation architectures to improve operations, focusing on both client relations and hands-on implementation of solutions.

The Agentic AI Solutions Architect leads client technical requests, designs AI-integrated data architectures, and implements automation and LLM solutions to enhance operational efficiency and ROI.

The Agentic AI Solutions Architect will lead client engagements, design AI-driven solutions, and implement data architecture for automation workflows, leveraging AI technologies to enhance operations.

The Agentic AI Solutions Architect will lead client technical strategies, design AI architectures, implement automation solutions, and enhance operational efficiency using LLMs.

As an Agentic AI Solutions Architect, you will lead technical strategies for clients, design AI workflows, and implement data architectures, focusing on transforming operations using machine learning and automation.

As an Agentic AI Solutions Architect, you will lead client technical requests, design integrated data architectures, and implement AI-driven automation, ensuring measurable ROI for clients.