Top Remote Jobs in Bursa

Provides senior monitoring, evaluation, accountability, and learning expertise across Southeast Asian projects and regional programmes. Leads theories of change, results frameworks, indicators, MEAL plans, data-quality processes, evaluations, applied research, evidence synthesis, learning activities, and technical coaching. Supports consistent organisational standards, cross-country collaboration, programme adaptation, reporting, and evidence-informed decision-making.

Lead end-to-end cloud data architecture for client platforms using Snowflake, Databricks, Azure, and AWS. Design lakehouse and warehouse patterns, migrations, governance, security, pipelines, infrastructure, and cost optimization. Conduct discovery workshops, support presales, present architecture decisions in Spanish and English, mentor engineers, review technical work, and ensure delivery quality. The role also prepares data foundations for BI, analytics, machine learning, and GenAI initiatives.

Reviews technical courses for quality, accuracy, learning-objective alignment, consistency, and instructional effectiveness. Provides constructive feedback to course development engineers on structure, clarity, terminology, formatting, and teaching methods. Requires at least one year of experience in software engineering, AI/ML, or a related field, along with basic coding ability and strong written, verbal, and collaboration skills.

Freelance graphic design professionals rate and edit design samples to help train AI models. Responsibilities include evaluating typography, visual hierarchy, color, layout, execution, and overall polish; applying detailed rating rubrics; identifying design flaws; and editing slides for cohesion. The role is fully remote, project-based, and does not involve creating original designs.

Build AI-assisted creative production tools, workflow automations, internal applications, and integrations for video, animation, audio, image, and interactive media. Collaborate with creative teams to prototype and deploy reliable solutions, improve production efficiency, maintain editorial and scholarly accuracy, document workflows, train users, and establish responsible AI safeguards for copyright, privacy, provenance, and sensitive content.

Designs and delivers AI-native solutions across business functions including People, Legal, Finance, and Operations. Responsibilities include identifying transformation opportunities, building and deploying AI agents and automated workflows, integrating enterprise systems, driving adoption, measuring business impact, applying governance and human oversight, and mentoring colleagues. The role partners with functional leaders to redesign operating models and continuously improve production AI solutions.

Own and operate the AI security runtime control plane across Azure, AWS, and GCP. Build inline AI enforcement, tune prompt-injection, data protection, tool-call, and agent access policies, and integrate security platforms with SIEM/SOC workflows. Lead L3 investigations, automated containment, cloud and Kubernetes security, DevSecOps controls, vendor evaluations, and closed-loop red-team remediation. The role requires automation, infrastructure-as-code security, multi-cloud identity management, incident response, and collaboration with technical leadership.

Architects and delivers enterprise AI, machine learning, generative AI, RAG, and agentic systems. Designs secure end-to-end architectures, integrates Claude and other models with ServiceNow, APIs, databases, cloud platforms, and workflows, and leads discovery, proofs of concept, and client delivery. Develops ML and NLP solutions, data pipelines, dashboards, evaluation frameworks, observability, governance, and responsible AI controls. Collaborates with stakeholders, engineers, consultants, and clients to operationalize reliable AI applications.

Build and ship production software using coding agents across planning, implementation, testing, debugging, documentation, and review. Own AI-generated output, maintain engineering context, create team-level agent tooling and guardrails, improve security and testing workflows, and share effective practices. The role requires solid engineering fundamentals, agentic workflow experience, judgment in reviewing AI output, and willingness to work primarily with Go or PHP/Laravel, though other languages are accepted.

Own and scale production LLM features and browser automation for a consumer subscription product. Responsibilities include prompt systems, structured outputs, Playwright and Browserbase automation, workflow orchestration, evaluation pipelines, observability, model experimentation, cost and reliability optimization, and production incident ownership. The role uses a modern TypeScript stack with Cloudflare Workers, Next.js, Postgres, Hatchet, and related AI tooling.