Turing

Design and develop challenging bioinformatics questions and evaluation frameworks for AI models. | Deep expertise in biomedical data processing, bioinformatics tools, and programming in Python or R, with experience in Linux/Unix, Docker, and version control. | 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 highly skilled Biomedical Informatics Subject Matter Experts (SMEs) to join our team in developing rigorous, high-quality evaluation questions designed to assess and challenge advanced AI models. The primary objective is to create benchmark questions that test the boundaries of AI capabilities across diverse bioinformatics domains. This role requires deep technical expertise combined with the ability to craft precise, unambiguous questions with well-defined evaluations. The ideal candidate will possess not only strong theoretical knowledge but also practical experience in designing assessment materials that have deterministic, verifiable outcomes. Responsibilities: • Design and develop challenging bioinformatics coding questions that push the limits of AI model capabilities. • Create automated, coding-based evaluations with unit tests that objectively verify correctness. • Build comprehensive evaluation rubrics with 7–10 distinct criteria for each bioinformatics question. • Ensure every question is self-contained, well-defined, and completely unambiguous, including all domain rules and edge cases. • Develop problems where there is exactly one correct answer or outcome that can be deterministically validated. • Translate theoretical bioinformatics concepts into concrete, measurable outputs. • Enforce performance requirements with explicit constraints and tests to prevent inefficient or brute-force solutions. Required Qualifications: Educational Background • Master's degree of experience in biomedical data processing and interpretation. • Ongoing PhD with 3+ years of experience in biomedical data processing and interpretation. • PhD (completed) in Biomedical Informatics, Bioinformatics, Computational Biology or a closely related field (preferred). Technical and other skills • Strong proficiency in biomedical data processing, analysis, and interpretation, including working with large‑scale datasets. • Experience with bioinformatics tools and pipelines (e.g., NGS workflows, multi‑omics, etc.). • Solid programming skills in Python / R • Experience working in Linux/Unix, Docker and version control. • Strong communication and collaboration skills for working in interdisciplinary research teams Domain Expertise Requirements Candidates must demonstrate deep, expert-level knowledge in at least TWO (2) of the following five core bioinformatics domains: 1. Biomedical Image Processing • Processing of Radiology imaging: CT, MRI, PET/SPECT, Ultrasound imaging • Automating cell counting, identifying cell types, and analyzing tissue structures in pathology slides • Computational segmentation and boundary inference • Medical image formation, reconstruction & enhancement • Noise modeling and statistical denoising • Image sampling theory and resolution limits • Intensity standardization and harmonization • Geometric transformations and spatial calibration • Multi-modal image registration and alignment • Morphological and topological shape analysis • Quantitative imaging feature extraction • Fusing data from different modalities (MRI, PET, Genomics) for a comprehensive view to tailor treatments • pattern recognition and predictive modeling 2. Biomedical Signal Processing • Cardiovascular/hemodynamic signals (ECG, PPG, BP, HRV, etc) • Neural/brain electrical signals (EEG, EP/ERP; seizure/cognitive analysis) • Neuromuscular/motor signals (EMG, motor unit decomposition; prosthetics/rehab) • Ocular/visual system signals (EOG, blink/saccade analysis) • Respiratory signals (airflow, effort; sleep/disordered breathing) • Nonlinear, Statistical, and Adaptive Signal Analysis • Multichannel, Spatial, and Connectivity Signal Analysis • Machine Learning and Data‑Driven Biomedical Signal Analysis • Clinical Monitoring, Wearable, and Translational Signal Processing 3. Molecular & Omics based Personalized Medicine • Omics based risk / disease prediction (GWAS, PRS, bulk, single‑cell RNA‑seq, proteins / metabolite signatures associated with diseases) • Risk Prediction and Prognosis Modeling • Molecular patient subtyping • Liquid Biopsy and Circulating Biomarkers (ctDNA, cfRNA/miRNA, MRD, etc.) • Causal Inference & Mechanistic Inference (ATE/CATE, Trial emulation and counterfactual modeling) • Cross‑modal data fusion (omics + EHR + imaging / signals) • Longitudinal Patient Modeling and Disease Progression • Patient Stratification and Subtyping (molecular subtypes, endotypes) • Electronic Health Records and Clinical Data Science 4. Drug Discovery & Repurposing • Treatment response prediction • Structure-based drug design (Molecular docking, binding site analysis, Virtual screening workflow) • Protein structure analysis (PDB/mmCIF handling) • Chemoinformatics ( Ligand-based screening, molecular fingerprinting, 2D/3D data handling and chemical space analysis) • QSAR & ADMET Modeling • Drug–target interaction prediction • Drug sensitivity prediction in disease models • Repurposing via omics/network associations • Predictive Modeling for Drug Discovery Molecular Dynamics Simulation of Biomolecules (QM, DFT, stability, reactivity, PCA analysis ) 5. Software / Utilities • Tool installation & environment management (docker/conda/pip) • Format conversion/validation (FASTA/FASTQ, BAM/VCF, PDB) • GUI-driven analysis workflows (step-by-step runs) • Workflow automation (scripts wrapping GUI tools) • Visualization tools (genome browsers, 3D viewers) • Container/VM execution and troubleshooting • Batch processing and report generation • Pipeline interoperability checks • Reproducibility packaging (configs, manifests) • Debugging typical bioinformatics tool errors 6. Regulatory Science and Clinical Policies • FDA/EMA regulatory pathways • Clinical Practice Guidelines & Standards of Care (e.g., NCCN, AHA, etc.) • Diagnostic Biomarker & Therapeutic Use Constraints • Medical Scenario Reasoning (case vignettes, Differential diagnosis) • Data & Content Compliance • Ethical Use, Safety, and Harm Prevention • Model Use Governance & Auditability • Policy‑Aligned Language & Communication • Clinical validation and cohort generalization • Privacy‑preserving learning Perks 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 : At least 30 hours per week. (We have 2 options of time commitment: 30 hrs/week or 40 hrs/week) • Engagement type : Contractor assignment/freelancer (no medical/paid leave) • Duration of contract : 2 months; [expected start date is next week] Evaluation Process: • Take home Assessment on Biomedical Informatics (2-6 hours) • Delivery discussion(15-30mins) After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

Drive growth and deliver technically scoped programs inside frontier AI organizations by managing commercial and technical relationships, leading negotiations, and coordinating internal teams. | Experience owning strategic customer relationships with technical or research-driven AI/ML teams, ability to manage delivery of technical programs involving ML systems, strong understanding of generative AI systems and foundation model lifecycles, excellent communication skills, and location in SF Bay Area. | About Turing Based in Palo Alto, California, Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilingualism, STEM and frontier knowledge; and leveraging that expertise to build real-world AI systems that solve mission-critical priorities for Fortune 500 companies and government institutions. Turing has received numerous awards, including Forbes's "One of America's Best Startup Employers," #1 on The Information's annual list of "Most Promising B2B Companies," and Fast Company's annual list of the "World's Most Innovative Companies." Turing's leadership team includes AI technologists from industry giants Meta, Google, Microsoft, Apple, Amazon, Twitter, McKinsey, Bain, Stanford, Caltech, and MIT. For more information on Turing, visit www.turing.com. For information on upcoming Turing AGI Icons events, visit go.turing.com/agi-icons. About the Role This is a strategic, customer-facing role responsible for driving growth and delivering technically scoped programs inside frontier AI organizations. You will work directly with model developers, research teams, and infrastructure leads at some of the most advanced labs in the world. Your work will shape how these organizations scale large models, evaluate system behavior, train agents, and improve safety. 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 depends on the ability to translate loosely defined technical objectives into executable programs — and to grow relationships by consistently delivering value in highly complex, evolving environments. This role is designed for someone who can navigate early-stage model development contexts, build trust with deeply technical teams, and drive meaningful commercial and strategic outcomes without relying on standard sales tactics. Responsibilities • Manage commercial and technical relationships with frontier AI labs developing foundation models and related systems. Own overall account growth, strategic alignment, and delivery success. • Identify areas of opportunity within research and model development pipelines — including evaluation, safety, agentic workflows, or data generation — and structure these into scoped engagements. • Lead commercial negotiations and close new programs that align with both customer priorities and Turing’s AGI infrastructure. • Translate ambiguous or early-stage technical objectives into executable workstreams with clear scope, milestones, and delivery plans. • Coordinate internal teams across product, engineering, operations, and leadership to ensure execution quality and responsiveness to shifting technical requirements. • Maintain direct oversight of program performance across multiple accounts. Monitor delivery health, preempt blockers, and guide iteration based on real-time feedback. • Capture customer insights and organizational signals to inform how Turing evolves its offering for model developers. Contribute to internal roadmaps, service design, and engagement playbooks. • Build and maintain technical credibility with research, infrastructure, and product leaders at customer organizations. Engage fluently in conversations around model scaling, safety, benchmarking, and deployment. Requirements • Demonstrated experience owning strategic customer relationships with technical or research-driven teams in AI, ML infrastructure, or model development environments. • Proven ability to originate and expand high-value programs in complex, multi-stakeholder accounts. • Skilled in scoping and managing delivery of technical programs involving ML systems, data pipelines, model evaluation, or applied research. • Strong understanding of generative AI systems, foundation model lifecycles, and LLM-adjacent workflows such as alignment, evaluation, and data efficiency. • Able to navigate ambiguity, define structure where none exists, and drive alignment across internal and external stakeholders. • Confident communicator capable of engaging C-level sponsors, research leads, and engineering managers with clarity and precision. • Highly organized and execution-oriented. Comfortable managing concurrent workstreams with attention to detail, delivery health, and long-term growth strategy. • Location in the SF Bay Area is required. 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 • Full-time remote opportunity 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.

Design and evaluate advanced math problems to improve AI language model performance through collaboration with researchers. | PhD in Mathematics or related field with strong math reasoning and clear communication skills. | Job Description Remote contract for PhDs in Mathematics, Statistics, or related fields. Work on cutting-edge projects with top AI labs while earning $50+/hour, fully remote, with flexible weekly hours. Role Overview: Help fine-tune large language models (like ChatGPT) using your math and analytical skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced math problems to test AI performance (e.g., multi-step reasoning, abstraction, symbolic manipulation). • Develop clear, step-by-step solutions with rigorous logic. • Evaluate AI outputs for accuracy and quality of reasoning. • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level math topics. Requirements: • PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field. • Strong mathematical reasoning and problem-solving skills across advanced domains. • Ability to communicate complex ideas clearly in writing and provide structured feedback. Perks: • Fully remote, flexible work. • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise) • Assessment: Shortlisted experts complete an evaluation before selection. • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. 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.

Lead large teams of software engineers and data scientists to deliver high-quality LLM training datasets through supervised fine tuning and reinforcement learning. | Proven experience managing large technical teams, strong leadership and communication skills, and hands-on ability with Python and JavaScript. | 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 Position Overview As a Delivery Leader for our LLM Training business, you will play a pivotal role in leading our efforts to develop high-quality, foundational LLMs. This position requires managing large teams of software engineers and data scientists dedicated to performing various Supervised Fine Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) tasks. Your leadership will ensure the delivery of superior SFT and RLHF datasets, achieving optimal outcomes in terms of quality, throughput, and cost. Key Responsibilities • Lead and manage large teams of Python, JavaScript, Java (and other long tail of languages) developers to execute technical tasks effectively. • Collaborate closely with researcher clients, ensuring their satisfaction with the delivered work. • Maintain rigorous review processes to ensure the highest quality of datasets. • Oversee the transition of projects from initiation to stable states, taking full responsibility for delivery • Identify and implement measures to enhance the quality of Python/JavaScript/Java etc. code within the team. • Ensure the team's work is of high quality, addressing any issues related to the clarity of questions, methodology, result communication, or bugs. Qualifications • Proven experience in managing large technical teams in a delivery-oriented role. • At least one of the following, ideally both: • * Python • Javascript • Demonstrated ability to engage in hands-on technical work, identifying and resolving quality issues. • Excellent leadership and people management skills, with a focus on motivating teams and fostering a collaborative work environment. • Strong communication and stakeholder management abilities, capable of effectively collaborating with clients and internal partners. Why Join Us? Our company is at the cutting edge of AI and Machine Learning, offering unique opportunities to contribute to the advancement of LLMs. You will lead a team of talented individuals, collaborate with top-tier clients, and be part of a dynamic and innovative culture. We are committed to the professional growth of our employees, providing a supportive environment where you can thrive and make a significant impact in the AI industry. 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.

Design and evaluate advanced physics problems to test AI performance and collaborate with researchers to refine AI benchmarks. | PhD in Physics or related field with strong physics reasoning and problem-solving skills and ability to communicate complex ideas clearly. | Remote contract for PhDs in Physics, Applied Physics, or related fields. Work on cutting-edge projects with top AI labs while earning $50+/hour, fully remote, with flexible weekly hours. Role Overview: Help fine-tune large language models (like ChatGPT) using your physics skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced physics problems to test AI performance (e.g., mechanics, electromagnetism, thermodynamics). • Develop clear, step-by-step solutions with rigorous logic. • Evaluate AI outputs for accuracy and quality of reasoning. • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level physics topics. Requirements: • PhD (pursuing or completed) in Physics, Applied Physics, or a related field. • Strong physics reasoning and problem-solving skills across advanced domains. • Ability to communicate complex ideas clearly in writing and provide structured feedback. Perks: • Fully remote, flexible work. • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise) • Assessment: Shortlisted experts complete an evaluation before selection. • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. 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.