Turing

Role Description Turing is building the infrastructure layer for AI model development — delivering large-scale, production-grade data solutions across the most technically demanding AI programs in the world. As AI systems evolve beyond text into richer perceptual modalities — vision, image and video reasoning, generation, and audio — the need for specialists who can sit at the intersection of technical depth, delivery precision, and client trust has never been greater. The Multimodal AI SPL is a senior individual contributor and delivery leader who owns end-to-end program outcomes for clients at the frontier of multimodal model development. You will operate across vision, video, image generation, and audio workflows — building scalable annotation and evaluation pipelines, translating complex model requirements into executable production systems, and serving as the primary strategic partner for key accounts in the US market. This role is based in LATAM and aligned to US business hours. What You'll Do - Client Partnership & Account Strategy - Serve as the primary point of contact and strategic advisor for US-based clients across multimodal AI programs — owning the client relationship from scoping through delivery and expansion. - Translate complex, evolving model requirements across vision, video, image, and audio modalities into structured program plans with clear milestones, quality benchmarks, and risk posture. - Lead strategic conversations with client research and engineering teams, providing informed perspective on data quality trade-offs, modality-specific constraints, and delivery architecture choices. - Identify and develop account growth opportunities by understanding client roadmap priorities and proactively surfacing adjacent capability fits. - Program Architecture & Cross-Modal Delivery - Design and own end-to-end delivery architecture for multimodal annotation, evaluation, and RLHF programs — spanning visual understanding, image/video generation quality, spatial reasoning, and audio-visual alignment. - Build scalable execution systems that account for the distinct complexity of each modality — frame-level video annotation, multi-step image generation evaluation, audio-visual consistency, and intermodal reasoning tasks. - Drive program governance including milestone tracking, escalation frameworks, and quality gates that span multiple concurrent workstreams. - Anticipate and resolve cross-functional dependencies across annotation, QC, tooling, and research teams before they become blockers. - Quality Systems & Model Alignment - Own the quality architecture for multimodal programs — defining rubrics, calibration cycles, inter-annotator agreement protocols, and escalation logic tailored to modality-specific failure modes. - Partner with client ML and research teams to understand model evaluation criteria and ensure ground truth data aligns with downstream training and fine-tuning objectives. - Establish feedback loops between human evaluation signals and model performance metrics, enabling data-driven iteration on annotation schema and quality thresholds. - Maintain accountability for data quality outcomes at the program level, not just task level. - Talent & Team Capability - Build and develop delivery teams with the right modality-specific expertise — sourcing, assessing, and onboarding annotators, QC reviewers, and leads who can operate across vision, video, and audio tasks. - Create structured onboarding and calibration programs that ramp team proficiency quickly on technically complex modality combinations. - Drive a performance culture oriented around quality ownership, cross-modal adaptability, and continuous improvement. - Operational Intelligence & Scalable Execution - Develop and maintain program-level delivery intelligence — throughput metrics, quality trends, cost efficiency, and capacity utilization — that enables proactive decision-making and client reporting. - Build repeatable execution playbooks for multimodal program types that can be scaled across new accounts and modality configurations. - Continuously evolve operational frameworks in response to new model architectures, annotation paradigms, and client program structures. Qualifications - 6–10 years of experience in program or project management within AI/ML, data operations, or a closely adjacent technical domain. - Demonstrated exposure to two or more of the following in a production context: computer vision, image generation/evaluation, video annotation or QA, audio processing, or multimodal reasoning tasks. - Proven ability to manage external client relationships at a technical level — comfortable owning a client conversation independently without requiring escalation support. - Experience building and leading cross-functional delivery teams in fast-paced, ambiguous environments. - Strong analytical instincts — able to diagnose delivery and quality issues from first principles, not just apply known solutions. - Fluency in English at a professional level suitable for US client-facing engagement; availability to work US business hours from LATAM. What Makes You Stand Out - Experience at an AI lab, foundation model company, or RLHF-focused data services provider. - Hands-on familiarity with multimodal annotation tooling, evaluation frameworks (e.g., CLIP-based scoring, preference data collection, VQA benchmarks), or model card evaluation pipelines. - Prior work on image or video generation quality programs — understanding of prompt fidelity, artifact detection, temporal consistency, or aesthetic evaluation. - Background in managing global teams distributed across time zones, with a track record of building delivery culture remotely. - Comfort engaging technical counterparts (ML engineers, research scientists) as a peer, not just a project coordinator. Benefits - Amazing work culture (Super collaborative & supportive work environment; 5 days a week). - Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience). - Competitive compensation. - Flexible working hours.

Role Description We are looking for a Research Engineer to help deliver frontier-quality datasets, RL environments, and evaluations that improve state-of-the-art models for leading AI labs and enterprise clients. This is a hands-on, research-facing technical leadership role. - Work directly with customer researchers/engineers to translate their model and post-training goals into concrete data and environment specifications. - Drive the production of data that meets extremely high standards for correctness, realism, diversity, difficulty, and measurable model lift. - Operate in one or more of the following capability areas: - Coding and software engineering agents - RL environments and verifier-based training - Multimodal data and reasoning - STEM reasoning - Modern embodied AI / VLM-driven agents Qualifications - 4–5 years of experience building or improving deep learning systems where data quality mattered materially. - Strong intuition for the “data ingredients” that drive model improvements. - Ability to communicate clearly with researchers and engineers. - Demonstrated ability to be extremely detail-oriented in diagnosing subtle data quality issues. - Solid programming ability with a bias for shipping. - Python proficiency required. - Comfort with SQL/structured data workflows strongly preferred. - For coding-focused work: proficiency in one or more major languages (e.g., C++, Java, Go, Rust, JS/TS) is a plus. - Comfort designing quality systems. Requirements - Implement automated validation and filtering to achieve frontier-grade signal-to-noise. - Develop synthetic data generation and augmentation pipelines where appropriate. - Create documentation and data cards. - Design and run evaluations that reflect the customer’s intended usage. - Collaborate effectively with large production teams without being ops-heavy. Benefits - Amazing work culture (Super collaborative & supportive work environment; 5 days a week). - Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience). - Competitive compensation. - Flexible working hours.

Role Description We are seeking a Strategic Project Lead to own end-to-end delivery and growth for audio and multimodal AI initiatives. This is a client-facing, builder role at the forefront of AI — spanning audio, speech, language, and multimodal systems. The scope includes both commercial and technical ownership. You’ll identify opportunities for collaboration, define the structure and terms of each engagement, and ensure successful delivery across internal and external teams. Success in this role requires the ability to navigate early-stage problem spaces, build trust with technical stakeholders, and consistently deliver outcomes in complex, evolving environments. We are looking for a strategic thinker with strong Audio AI data annotation experience who can translate loosely defined technical objectives into executable programs and grow relationships by consistently delivering value in complex, evolving environments. Primary Responsibilities - Delivery Ownership & Client Partnership - Own P&L, delivery outcomes, and client satisfaction for audio and multimodal engagements - Lead client conversations and solutioning, translating ambiguous needs into structured programs - Build strong relationships with enterprise and frontier AI lab partners - Identify and drive account expansion opportunities, shaping early-stage ideas into commercial engagements - Delivery Systems & Scalable Execution - Design and run high-performance delivery systems across audio and multimodal workflows - Define metrics and leading indicators to proactively manage quality, speed, and cost - Build reusable playbooks and frameworks to accelerate program launches - Scale and structure global delivery teams, ensuring clear ownership and fast decision-making - Cross-Functional Influence & Strategic Alignment - Align product, engineering, and operations around client priorities - Drive execution in ambiguous, fast-changing environments - Feed client and delivery insights into internal roadmap and capability building - Technical & Domain Leadership (Audio / Multimodal) - Own and evolve Turing’s audio and speech capability across ASR, TTS, conversational audio, and multimodal systems - Build new audio offerings — including data generation, evaluation frameworks, alignment workflows, and emerging agentic/audio use cases - Partner with ML/research teams to define benchmarks and evaluation methodologies - Translate advances in LLMs, speech, and multimodal AI into scalable, client-ready solutions Qualifications - Demonstrated experience in delivery management, program management, or technical operations — with exposure to AI/ML or data workflows - Domain background and experience in audio/speech AI, ASR/TTS, NLP, or multimodal data annotation - Familiarity with frontier AI lab workflows: model evaluation, RLHF, alignment, benchmarking - Knowledge of the latest multimodal AI technologies and how they can improve annotation pipelines Requirements - Strong first-principles problem-solving ability; comfortable operating with ambiguity - Proven ability to own and scale complex programs end-to-end - High ownership mindset with bias for action - Strong communication skills; able to engage technical and business stakeholders - Ability to make trade-offs across quality, speed, and cost - Strong analytical skills with experience using data to drive decisions - Comfortable working across global teams and time zones Benefits - Amazing work culture (Super collaborative & supportive work environment; 5 days a week) - Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) - Competitive compensation - Flexible working hours

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 looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com Overview: We are seeking a skilled and dynamic Technical Program Manager to join our team. In this role, you will be responsible for identifying and addressing key business challenges, driving the product roadmap, overseeing execution, and optimizing operational processes. You will act as a bridge between technical and non-technical teams, ensuring the successful delivery of high-quality products and solutions that align with organizational goals. Key Responsibilities: - Problem Definition & Analysis: Lead the identification and definition of complex business challenges, whether they arise from delivery challenges (resource bottlenecks, technical obstacles) or customer-side issues (usability, satisfaction). Break down these challenges into smaller, manageable components and align teams toward clear goals and outcomes. - Product Roadmap Management: Develop and maintain the product roadmap, aligning it with organizational goals. Adjust and adapt the roadmap based on changing business priorities, feedback from stakeholders, or unforeseen challenges. - Customer-Centric Product Development: Develop a deep understanding of the product’s value to customers and clients. Ensure the product addresses customer pain points and drives business growth. Ensure that features and updates meet customer expectations. - Operational Oversight: Oversee the execution of operational processes, ensuring all teams are aligned and accountable for meeting program objectives. Track progress and continually optimize workflows to enhance productivity and performance. - Stakeholder Management & Communication: Actively manage relationships with key stakeholders, including development teams, designers, marketing, sales, customer support, and leadership. Facilitate clear and effective communication across teams to ensure alignment on goals and progress. - Program Strategy & Reporting: Articulate complex business problems, product strategies, and program progress to both technical and non-technical stakeholders in a clear, concise, and compelling manner. Provide regular updates on program status, roadblocks, and solutions. - Continuous Improvement: Proactively seek opportunities to improve the product and processes, drawing from customer feedback, performance metrics, and lessons learned. Drive ongoing optimization efforts to enhance product performance and user experience. Essential Skills & Qualifications: - 7+ years of Program Management & Product Management experience at a high-growth product-based startup, preferably at the intersection of technology and operations. - Problem Solving: Ability to identify and analyze complex business challenges (e.g., technical, operational, or client issues) and break them into smaller, manageable problems. - Roadmap & Strategic Planning: Experience creating and maintaining a product roadmap, adjusting it based on changing priorities, feedback, and unforeseen challenges. - Cross-functional collaboration: Ability to build strong relationships with multiple stakeholders, including developers, designers, marketing, sales, and leadership teams. - Stakeholder Communication: Excellent communication skills, with the ability to clearly articulate complex concepts to both technical and non-technical stakeholders. - Operational Leadership: Experience in overseeing the execution of operational processes and improving workflows for maximum efficiency. Technical Skills: - Project Management Tools: Proficiency in using tools such as JIRA to manage tasks, track progress, and report on project status. - Data Analysis & Reporting: Advanced skills in Excel for data analysis, reporting, and decision-making. - SQL: Strong understanding of SQL for querying databases and analyzing data. - Technical Understanding: Familiarity with the technical aspects of product development, including software architecture, APIs, and cloud infrastructure, to effectively communicate with development teams. Values: - We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. - We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection - We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing: - Amazing work culture (Super collaborative & supportive work environment; 5 days a week) - Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) - Competitive compensation - Flexible working hours Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

• Define and drive the demand and supply growth roadmap in partnership with the Head of Talent Growth. • Translate strategy into clear execution plans, owners, timelines, and measurable outcomes. • Identify and prioritize high-impact growth opportunities across Demand and Supply verticals. • Own growth operations, including funnel optimization, automation initiatives, and marketing-to-sales handoffs. • Lead cross-functional programs across product-led, operations-led, and marketing-led growth initiatives. • Drive structured problem-solving: define hypotheses, run experiments, measure impact, and iterate quickly. • Ensure alignment and accountability across Engineering, Product, Data Science, and Sales stakeholders. • Build and track growth metrics, dashboards, and reporting for monthly business reviews. • Improve the quality and effectiveness of growth funnels, systems, and processes. • Operate hands-on across analytics, marketing technology, strategy, and execution as needed.

• Design and develop end-to-end IT automation workflows using tools such as Tines, Google Apps Script, and Python. • Automate employee onboarding, offboarding, and access provisioning processes across systems like Okta, Google Workspace, Slack, and Zoom. • Build event-driven automation pipelines for system alerts, user lifecycle management, and IT workflows. • Integrate APIs across multiple SaaS and infrastructure platforms to enable real-time automation and data synchronisation. • Collaborate with Security and IT teams to implement Zero Trust and access automation using IdP integrations (Okta, Google Identity, Azure AD). • Develop internal tools and scripts to reduce manual IT tasks and improve operational efficiency. • Maintain automation logic, workflows, and configurations using version control and documentation standards. • Implement monitoring and alerting for all automation pipelines to ensure reliability and performance. • Research and adopt new automation frameworks, scripting techniques, and no-code/low-code tools to expand automation coverage. • Create and maintain technical documentation, SOPs, and automation libraries for cross-team use. • Automate the creation and maintenance of operational dashboards to provide real-time visibility into IT metrics, system health, and automation performance.

• Act as the L3 escalation point for all SaaS and application-related technical issues. • Manage the entire SaaS application lifecycle, including onboarding, configuration, access management, renewals, and deprovisioning. • Oversee license allocation, utilization tracking, and optimization across tools such as Google Workspace, Okta, Slack, Zoom, Atlassian Suite, and Notion. • Build and maintain operational dashboards and reports to provide visibility into key SaaS metrics track license usage, renewal dates, and spend analytics. • Collaborate with Finance to monitor SaaS spend, forecast renewals, and negotiate license adjustments or cost-saving opportunities. • Partner with Security and Compliance teams to ensure access governance, SSO enforcement, and MFA compliance across all SaaS platforms. • Manage user access provisioning and deprovisioning using IdPs such as Okta or Google Identity. • Conduct regular audits of SaaS systems to maintain security posture, license accuracy, and operational hygiene. • Evaluate and recommend new SaaS applications based on business needs and ROI analysis. • Maintain vendor documentation, license inventories, and process documentation for renewals and compliance tracking. • Collaborate with stakeholders across departments to improve visibility and control over SaaS adoption and usage. • Provide Tier 3 technical support for complex SaaS configuration or integration issues.

• Build and scale core components of Turing’s vetting platform, with initial focus on: • AI Interviewer • Task-based vetting platform • Fraud and integrity checks • Design platform-level systems rather than siloed point solutions, with strong emphasis on extensibility, reuse, and long-term maintainability • Partner closely with Product, Design, Data, and Operations to translate ambiguous business problems into scalable technical systems • Lead architecture and implementation for high-scale, high-reliability user-facing and internal workflows • Improve system quality across UX, performance, observability, and developer velocity • Help establish technical direction, engineering standards, and execution rigor for a fast-moving, AI-forward org • Mentor engineers and raise the bar on engineering craftsmanship, systems thinking, and speed of execution

• Own and manage the full recruitment lifecycle for technical roles • Conduct intake meetings and define hiring strategy with stakeholders • Build proactive sourcing strategies using LinkedIn Recruiter, Naukri, GitHub, referrals, and niche platforms • Screen and evaluate candidates for technical capability and culture fit • Manage the interview process and ensure a seamless candidate experience • Drive stakeholder alignment and influence hiring decisions • Lead offer negotiations and candidate closing conversations • Provide market intelligence (compensation benchmarks, talent mapping, competitor insights) • Track pipeline metrics and maintain ATS hygiene (Greenhouse preferred) • Continuously improve hiring processes for speed and quality

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 looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com About the Role We are seeking a highly motivated and experienced Security / DevSecOps Engineer focused on cloud infrastructure security, monitoring, and threat detection in India or Brazil. This role is critical for ensuring the security and compliance of our cloud environment by actively identifying, analyzing, and responding to security threats, as well as designing and operating automated security controls within Google Cloud Platform (GCP). What You'll Work On Infrastructure & Platform Security - Define hardened images and golden baselines (OS, container, Kubernetes, network) and enforce via IaC, org policies, and policy-as-code. - Maintain and audit secure infrastructure configurations (including network security, identity, and access management) based on security best practices and compliance requirements. - Secure Infrastructure-as-Code (IaC) pipelines and repositories, ensuring security is built-in from the development stage. - Integrate security controls and testing into CI/CD pipelines to prevent the deployment of vulnerable code or insecure configurations. - Ensure continuous adherence to internal security benchmarks and external regulatory frameworks. - Standardize secret management (GCP Secret Manager/KMS), rotation, and break-glass access. - Implement least-privilege IAM, service accounts/workload identities, and VPC Service Controls where appropriate. - Collaborate with engineering teams to provide security guidance and ensure new infrastructure deployments meet security standards. Monitoring, Detection & Incident Response - Deploy, configure, and continuously tune cloud-native and third-party Intrusion Detection Systems (IDS), specifically Google Cloud IDS, to maximize threat detection efficacy and minimize false positives. - Proactively monitor security dashboards, logs, and alerts for threats, anomalies, and suspicious activity across our cloud infrastructure. - Manage and harden network security configurations, including VPC Service Controls, firewall rules, and security groups in GCP, using infrastructure-as-code principles. - Provide hands-on support for security incident response activities, including initial triage, containment, eradication, and post-incident analysis. - Ensure the robustness, automation, and regular validation of backup and disaster recovery processes to meet business continuity requirements. - Develop and maintain automated monitoring and alerting systems to ensure high availability and performance of security tools and critical infrastructure. - Maintain documentation for all security operational procedures, runbooks, and configurations. Vulnerability & Compliance - Support the vulnerability management program by triaging, prioritizing, and coordinating the remediation of infrastructure-related vulnerabilities across GCP. - Support compliance activities related to internal security standards and external frameworks as required. What We're Looking For - 5+ years in cloud or infrastructure security engineering, security operations, or a similar role. - 3+ years hands-on with Google Cloud Platform (GCP). - Demonstrable experience securing cloud environments, with a strong preference for GCP. - Proficiency in scripting or programming (e.g., Python, Go, Shell) for automation of security tasks and workflows. - Deep understanding of core infrastructure security concepts, including patch management, vulnerability assessment, and backup/recovery procedures. - Strong understanding of network security principles, including firewalls, load balancers, and segmentation in a cloud environment. - Demonstrated ability to perform security event analysis, triage, and incident response. Bonus Points - Relevant industry certifications (e.g., Google Cloud Professional Cloud Security Engineer, CISSP, CCSP). - Experience with Infrastructure-as-Code (IaC) tools, Terraform or Cloud Deployment Manager, or CI/CD tools. - Familiarity with security frameworks (e.g., NIST, ISO 27001, CIS Benchmarks). - Experience with container security (Docker, Kubernetes/GKE). - Advanced GCP controls: Organization Policies, VPC Service Controls, Access Context Manager, Binary Authorization. - Experience with SIEM or observability tools; building infra-security detections and dashboards. Values: - We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. - We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection - We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing: - Amazing work culture (Super collaborative & supportive work environment; 5 days a week) - Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) - Competitive compensation - Flexible working hours Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.