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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&LJob OverviewWe are seeking professionals with strong scientific reasoning and quantitative analysis skills to create high-quality reasoning datasets for Large Language Model training. This role focuses on designing scientific discovery tasks in which models analyze experimental or simulated data, identify patterns, infer formulas or laws, and apply them to new cases. Ideal candidates have a solid understanding of the scientific method, experimental design, mathematical modeling, and data interpretation across fields such as physics, chemistry, and biology. They should be able to design clear, challenging tasks that test whether a model can move from observation to explanation in a precise and verifiable way.Key Responsibilities Design scientific scenarios using experimental data, observational records, or simulated systems, including fictional but internally consistent systems. Author multi-step reasoning tasks that require models to analyze data, identify relationships, infer governing rules, estimate parameters, and predict outcomes. Develop problem types such as law induction from data, parameter recovery, model selection, predictive reasoning, and impossible-scenario detection. Create clear context blocks, prompts, expected answers or reference solutions, and scoring rubrics for each task. Anticipate edge cases such as noisy data, boundary conditions, impossible states, missing assumptions, and unit inconsistencies. Collaborate with reviewers and LLM engineers to improve task clarity, scientific accuracy, and reproducibility. Maintain high quality standards across all tasks, with strong attention to logic, precision, and internal consistency.Qualifications 3+ years of experience in a scientific, research, or analytical role such as physics, chemistry, scientific computing, or data analysis. Strong background in scientific reasoning, quantitative modeling, and data interpretation. Familiarity with experimental design, mathematical modeling, parameter estimation, dimensional analysis, or simulation-based reasoning. Proven ability to design structured reasoning problems and explain them clearly in writing. Strong attention to detail, especially around assumptions, ambiguity control, and consistency between data, solution, and rubric. Experience working with or evaluating Large Language Models is a plus. A degree in Physics, Chemistry, Biology, or a related science discipline is preferred.Deliverables A structured collection of reasoning tasks covering law discovery from data, inference from observational or simulated systems, parameter estimation, prediction under new conditions, and scientific consistency checks. Each task should include: A formal context block with assumptions, variables, definitions, and observations A prompt asking the model to infer, compute, justify, predict, or explain An expected output with a deterministic final answer and reference solution A rubric for evaluating correctness, reasoning quality, and completeness Final tasks must be self-contained, reproducible, and aligned with model reasoning evaluation goals. Offer Details: Commitments Required: at least 4 hours per day and minimum 40 hours per week with 4 hours of overlap with PST. Engagement type: Contractor Engagement Length: 5 weeksEvaluation Process - Shortlisted candidates will be sent a Job Interest Form. Shortlisted candidates will be contacted to discuss the pre‑onboarding requirements

About Turing: About TuringTuring is an AI-powered tech services company with a mission to accelerate AGI advancement and deployment by bridging the gap between global talent from 100+ countries and the world's best foundational LLM companies, by helping them improve performance through model evaluation, fine-tuning, feedback, factuality and handling diverse data.Role OverviewA US based AI company that is at the forefront of AI research is looking for a detail-oriented and analytically consistent Annotator to evaluate visual and creative content using structured rating frameworks and detailed guidelines.In this role, you will assess AI-generated and real-world media (images and videos) for quality, realism, composition, and adherence to defined evaluation standards. Your work will directly contribute to improving cutting-edge AI systems.This position requires strong visual judgment, structured reasoning, and consistency across high-volume evaluation tasks.Job Responsibilities Evaluate visual and media content using structured guidelines and predefined rating frameworks. Provide clear, well-structured written justifications to support evaluation decisions. Ensure consistency, accuracy, and attention to detail across high-volume annotation tasks. Identify quality gaps related to realism, composition, motion, lighting, and overall production standards.Job Requirements 3+ years of professional work experience Media/agency experience is mandatory Hands-on experience working directly with designers, photographers, or videographers (mandatory) Experience with AI image or video generation tools is a strong plus Strong understanding of motion realism, lighting, camera movement, composition, and production quality Strong analytical, logical reasoning, and research skills and excellent communication and collaboration abilities, with proficiency in English. Incorporate feedback from LLM performance metrics into training data creation. Ability to commit to 40 hours per week and candidates who can join immediately preferred.Required Qualification:Bachelor’s degree or higher in: Design, Visual Communication, or Fine Arts Film, Media, Animation, or VFX Photography or Cinematography Architecture or Industrial Design Creative Writing or equivalent professional experience in content creation, media production, or content review.Benefits Opportunity to work on cutting-edge AI projects. Competitive compensation. Flexible working hours and remote work environment.Application Process Shortlisted candidates will complete an assessment. Successful candidates will be interviewed. Once the assessment is cleared, candidates can start.

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: 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: About TuringBased 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 OverviewTuring is looking for Trading professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in trade execution, market analysis, order flow dynamics, and risk management to evaluate and train AI systems. If you enjoy solving complex problems in trading and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.What Does Day-to-Day Look Like Evaluate LLM models on trading topics such as execution strategies, market microstructure, order book analysis, and position management. Create rubrics to assess model capabilities on tasks like trade sizing, risk/reward evaluation, technical analysis, and market impact assessment. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.Requirements 2+ years of experience in Trading (e.g., equities, fixed income, FX, commodities, or derivatives trading at a bank, hedge fund, or prop trading firm). Strong grasp of market dynamics, execution algorithms, risk management, and trading strategies across asset classes. Excellent English written communication.Bonuses (Not at All Necessary) CFA (Level I/II/III), FRM, Series 7/63, or MBA in Finance.Perks of Freelancing with Turing Work on the cutting edge of AI and finance. Fully remote and flexible work environment. Competitive hourly compensation of ~$100+/hour depending on experience.Offer Details Commitment: Flexible, 10–30 hrs/week. Duration: ~1 month, with the possibility of extension based on performance and project needs.