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About Turing: About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.Role Overview:We are seeking a Content / Media Team Lead to drive global storytelling, content production, and media execution at scale. This role is responsible for leading distributed teams, ensuring high-quality content operations, and partnering with cross-functional stakeholders—including research, product, and operations—to deliver impactful training programs.The ideal candidate combines strong editorial judgment, operational excellence, and leadership skills to scale content initiatives in a fast-paced, AI-driven environment.Key Responsibilities: Lead end-to-end content and data labeling operations, including content creation, quality assurance (QA), evaluations, and delivery Manage globally distributed teams, vendors, and reviewers to meet quality standards, SLAs, and throughput targets Design and implement SOPs, workflows, and performance tracking dashboards Collaborate with AI researchers and cross-functional teams to improve processes, tooling, and output quality Analyze workflow metrics to identify bottlenecks, enhance efficiency, and drive continuous improvement Recruit, onboard, coach, and manage team members, fostering a high-performance culture Ensure consistency, accuracy, and scalability of content across multiple formats and channelsRequirements: 6+ years of experience in content, editorial, media, communications, or B2B tech marketing 2+ years of experience leading teams or managing external partners Exceptional writing, editing, and storytelling skills in English Strong proficiency in Excel and/or Google Sheets, with experience handling large datasets, trackers, and reporting dashboards Experience with social media, SEO, and video/webinar content production Based in Asia and comfortable working across multiple time zonesNice to have: Experience in Generative AI, SaaS, developer ecosystems, or enterprise technology Strong understanding of global audiences and evolving media trends Familiarity with content operations in AI training or data labeling environmentsBenefits: Flexible working hours and remote work environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Potential for contract extension based on performance and project needs.Offer Details: Commitments Required : a total of 40 hours per week with 2-4 hours of overlap with PST.  Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month This role will require some overlap with UTC-8:00 (2-4 hrs/day) America/Los_AngelesApplication Process: Shortlisted candidates will be invited to the interview stages.

About Turing: About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.Role Overview:We are looking for a driven AI Project Manager / Team Lead with 4+ years of experience to lead end-to-end delivery of multimodal AI projects across text, image, audio, and video domains. This role requires strong execution skills, stakeholder management, and the ability to thrive in fast-paced, ambiguous environments.Key Responsibilities: Lead end-to-end delivery of multimodal AI projects across text, image, audio, and video Coordinate cross-functional teams including researchers, engineers, and data specialists Drive project planning, execution, and timely delivery against defined milestones Manage stakeholders and ensure clear communication and alignment on goals Translate complex AI requirements into structured roadmaps and actionable plans Monitor KPIs, track progress, and proactively mitigate risks and bottlenecks Optimize resource allocation to ensure high-quality project outcomes Identify process improvements to enhance delivery efficiency and team productivity Navigate ambiguity and adapt quickly in a dynamic, fast-paced environmentKey Requirements: 4+ years of experience in project/program management, preferably in AI/ML or tech-driven environments Exposure to or understanding of multimodal AI workflows (text, image, audio, video) is a plus Strong stakeholder management and communication skills Ability to translate complex technical requirements into structured execution plans Proven experience managing cross-functional and distributed teams Strong problem-solving and execution mindset Comfortable working in fast-paced, evolving environments Strong English communication skills (written and verbal) requiredOffer Details: Commitments Required: 40 hours per week with at least 4 hours PST overlap Employment type  : Contractor assignment (no medical/paid leave) Duration of contract : 4 weeks; [expected start date is next week] Location : Brazil, Colombia, Mexico, Peru, India, Pakistan, Nigeria, Egypt, Ghana, BangladeshEvaluation Process:Candidates will need to complete a short assessment, after which shortlisted candidates will proceed to an interview round.

About Turing: About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.About the Role:We are seeking an engineer responsible for designing, implementing, and maintaining data-validation workflows inside Docker-based build pipelines. This role involves creating and managing Dockerfile labels, metadata standards, and validation scripts that ensure datasets, schemas, and model artifacts meet quality and compliance requirements before deployment.You will work closely with data engineering, machine learning, and DevOps teams to build reliable, reproducible, and fully validated containerized data pipelines.What does day-to-day look like: Develop and optimize Dockerfiles with built-in data-validation steps. Implement LABEL metadata for dataset versions, schemas, and lineage. Create validation scripts (Python/Bash) for schema checks, data integrity, and quality control. Integrate validation steps into CI/CD pipelines and enforce fail-on-bad-data checks. Document standards for Dockerfile labeling, validation logic, and data governance.Required Skills Experienced DevOps engineers with 4+ years of experience Strong experience with Docker & Dockerfiles. Proficiency in Python or Bash for validation scripting. Knowledge of data formats, schemas, and validation tools. Familiarity with CI/CD systems and container registries.Nice to Have: Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Experience with MLOps workflows, data versioning, or Great Expectations. Knowledge of Kubernetes or container security tools.Perks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.Offer Details: Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type  : Contractor assignment (no medical/paid leave) Duration of contract : 2-4 weeks; [expected start date is next week] Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico, BrazilEvaluation Process (approximately 75 mins) : Interviews (30-60 min technical discussion in QODE)

About Turing: Role OverviewWe are looking for a highly skilled Senior DevOps Lead to design, build, and scale secure, multi-cloud distributed systems. This role requires deep expertise in cloud-native architecture, Kubernetes, networking, and modern platform engineering practices.You will drive architecture decisions, enforce best practices, and collaborate with engineering teams to deliver resilient, scalable, and secure systems.Key ResponsibilitiesDesign and implement cloud-native, multi-cloud architectures (AWS / Azure / GCP)Define and enforce infrastructure-as-code (IaC) and platform engineering standardsArchitect and manage Kubernetes-based platforms (EKS / AKS / GKE)Lead networking design including VPCs, security groups, service mesh, and eBPF-based observabilityImplement zero-trust security models and policy enforcement across systemsDrive observability strategy (metrics, logs, traces) across distributed systemsDesign scalable data architectures (OLTP, caching, distributed databases) Define and govern API architecture standards (REST, async, event-driven) Collaborate with cross-functional teams (DevOps, Security, Backend, Data) Mentor engineers and guide technical decision-makingKey ResponsibilitiesArchitect multi-cloud, cloud-native systemsLead Kubernetes platform design (EKS/AKS/GKE)Define IaC standards (Terraform/OpenTofu, Crossplane)Design secure networking & zero-trust architecturesImplement observability (OpenTelemetry, Grafana stack)Drive API & event-driven architecture standardsMentor teams and guide technical decisionsMust-Have Skills Terraform/OpenTofu, Crossplane Kubernetes, Helm, Kustomize Cilium (eBPF), VPC & networking design Kyverno, Zero Trust security OpenTelemetry, Grafana (Loki, Tempo, Mimir) PostgreSQL/Aurora, Redis, S3 REST/OpenAPI, event-driven systemsNice to Have Pulumi, Istio, OPA/Gatekeeper gRPC, MCP/A2A pgvector, YugabyteDB Datadog, eBPF instrumentation

About Turing: As an Agentic Evaluation Specialist, you will work directly with researchers at a top 8 Frontier large language model company to improve LLM Agent performance specific for Agentic Storage Management.Responsibilities: Data migration workflows across cloud platforms (AWS, GCP, Azure) Data migration strategies, considering trade-offs (online vs offline, performance, scalability) Creation & upkeep of data pipelines and ETL/ELT workflows in distributed environments Integrate and evaluate LLM/Generative AI components within workflows Perform system testing and validation: Execute test scenarios Identify edge cases and failure points Debug and analyze issues across systems Ensure data integrity, consistency, and performance across systems Document findings, insights, and recommendations clearly for stakeholders Collaborate with cross-functional teams across engineering, data, and productRequired Qualifications: 5+ years of relevant experience with cloud platforms (GCP, AWS, or Azure) and data/storage systems Strong understanding of data migration processes and associated trade-offs Experience with data pipelines, ETL/ELT workflows, or distributed systems Hands-on exposure to LLMs / Generative AI (prompting, evaluation, or integration) Experience in system testing, validation, or QA Strong debugging and problem-solving skills Excellent written communication skillsNice to have: Background in storage administration, SRE, or cloud infrastructure operations Experience with MLOps, model evaluation frameworks, or AI testing workflows Familiarity with Google Cloud Storage (GCS) or similar platforms Experience working in Agile environments with cross-functional teamsPerks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Potential for contract extension based on performance and project needs.Offer Details: Commitments Required : 40 hours per week with overlap of 4 hours with PST Engagement type : Contractor (no medical/paid leave) Duration of contract : 9 months; [expected start date is next week] Location: USA